1.(1) The claim by a weight loss Company is that on average, the client will lose 10 pounds over
...
first 2 weeks. 50 people who joined the programme are sampled, their weight loss is 9 pounds with a standard deviation of 2.8 pounds. Can we conclude at the .05 level that a person joining the programme will lose less than 10 pounds?
(2) The following is a random sample of 90-day futures prices in dollars for 1 troy oz. of silver from The Wall Street Journal issues in May and June of 1997: 4.74, 4.77, 4.87, 4.91, 4.83, 4.72, 4.92, 4.86, 4.97, 4.71, 4.90, 4.93, 4.75, 4.88, 4.79, 4.83, 4.89.
Required:
a. Calculate the mean
b. Median
c. Standard deviation of the 90-day future price of silver data
(3) A mining company needs to estimate the average amount of copper ore per ton mined. A random sample of 50 tons gives a sample mean of 146,75 pounds. The population standard deviation is assumed to be 35.2 pounds.
Required:
a. Give a 95% confidence interval for the average amount of copper in the population of tons mined.
b. Give a 90% confidence interval for the average amount of coper per ton
c. Give a 99% confidence interval for the average amount of coper per ton
(4) An e-commerce Website gets 2,385 visitors on a particular day. Among these, 1790 visitors explore the products by looking at more pages at the site. Among these 1790 visitors who explore the products, 387 make a purchase.
Required:
a. If a visitor chosen at random from all those who visited the site, what is the probability that the visitor explored the products
b. If a visitor is chosen at random from all those who visited the site, what is the probability that the visitor made a purchase.
c. If a visitor is chosen at random from all those who explored the products, what is the probability that the visitor made a purchase.
d. Which of the preceding three probabilities is relevant to the design of the home page that leads to product page.
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2.This first part of the Individual Research Project is an Outline and Annotated Bibliography. The
Outline should provide a very brief
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tline should provide a very brief overview of what you think you will do in the Policy Brief.
The Annotated Bibliography requires you to summarize at least three peer-reviewed scholarly
sources you will cite in the Policy Brief.
This assignment is designed to get you thinking about your topic in a way that clearly anticipates
the writing you will do for the Policy Brief. We want you to brainstorm and do a bit of research
well in advance of the deadline for the Policy Brief and, most importantly, we want you to put
your ideas down on paper so that we can give you feedback before writing the actual Policy
Brief. In other words, we are asking you to submit an Outline and Annotated Bibliography so
that we can help you write the best Policy Brief possible.
Your Outline should be divided into the following five sections and should be written in
complete sentences:
I. Audience: Identify the audience you are addressing and consider what that audience
is interested in. Who are you talking to in the Policy Brief and what does this suggest
about the approach you should take? (75-100 words).
II. Problem: State how you know the issue exists. What is the proof that students need
to improve this skill? (125-150 words).
III. Importance of Problem: Indicate why this problem matters. What are the
consequences of the problem not being addressed? Why do students need to improve
this skill? (100 words)
IV. Solution: Identify your preferred solution. What solution will work in your context
and why? (75-100 words)
V. Alternative Solution: Identify at least one other possible solution. What other
solutions did you consider? (75-100 words)
The total length of the Outline should be between 450 and 550 words.
When you submit your Outline, you must also include an Annotated Bibliography. An Annotated
Bibliography is an alphabetical list of research sources that provides bibliographical data (the
title, author, date, publisher, etc.) and a short summary or annotation of the source.
Your Annotated Bibliography should contain a minimum of three scholarly or peer-reviewed
sources, each with an accompanying annotation that is between 150 and 250 words long. The
annotations must summarize the research question or thesis, research methodology, results, and
conclusion. Annotations must include summaries and paraphrased information, NOT quotations.
A good annotation will include two separate paragraphs: 1) a paragraph summarizing the
research question or thesis, research methodology, results and conclusion; and 2) a paragraph
commenting on why this source is relevant for your research.
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3.We are going to design a synchronous state machine that implements a timer of ten seconds. For this, we will
...
we will use a 4-bit register (with parallel input and output) as memory element of the state machine, a 16-byte ROM memory to implement the next state logic and output logic, and a 4-bit binary counter to count the time.
Following is an (incomplete) sketch of the circuit to be used. Note that the registrar is already in its data entry enabled, while the counter is already with its “load” input disabled. Also note that we have a 1 Hz clock signal and also a button for “Reset” the register (which must bring the timer to its initial state, as described further up).
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4.1. Estimate a second stage (also called the stable stage) growth rate in dividends, g2, for use in the Two-Stage
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he Two-Stage DDM. Your estimate for g2 is the growth rate that you expect will continue “forever” in the second stage. Your estimate for g2 should not be much greater than the expected future growth in the overall economy (expected growth in GDP). Why? LIST your estimate for g2 and provide a short paragraph that EXPLAINS your reasoning AND the source of your estimate for long-term growth in GDP. Finally, estimate and LIST a price per share for KO using your estimates for g1, N, Re, g2 and KO’s current annual dividend (most recent quarterly dividend x 4) as D(0) in the Two-Stage DDM (submit your spreadsheet).
2. Calculate KO’s FCFF for EACH of the past five (5) years using the financial statement data found in KO’s annual reports and using the FCFFM.xls template. The template will calculate the annual FCFF value for you, but you MUST insert the correct input values for Depreciation & Amortization, Capital Investment, Capital Sales, etc.
3. Assume that the average annual FCFF from Q5 is good estimate of KO’s FCFF(0) for use in the FCFM. LIST your estimate for FCFF(0) then estimate and LIST a price per share for KO using your estimates for g1, N, WACC, g2 and FCFF(0) in the Two-Stage FCFFM (submit your spreadsheet).Use the same estimate second stage or stable stage growth, g2, in the FCFFM that you selected for the DDM.
4. Apply Relative Valuation methods to Coca-Cola (KO) using the following three (3) popular relative valuation ratios - Price/Earnings, Price/Book, Price/Sales (call these three ratios Price/”X” ratios). Select at least five (5) comparable firms that are in the same industry as KO and use the average P/X ratio for the group of comparable firms in your valuation analysis. The P/X ratios for the template can be found by using the screener on the Finviz.comwebsite. Use the Relative Valuation (RV) Excel spreadsheet tab found in the Two Stage_DDM_FCFE_FCFF_RV.xlsx file.
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5.. Consider the following 2D dataset:
C_(1∶ ) X=(x_(1 ),x_(2 ) )= {(0,2),(1,1),(1,4),(2,3),(2,5)}
C_(2∶
...
(2,5)}
C_(2∶ ) X=(x_(1 ),x_(2 ) )= {(5,6),(5,8),(6,3),(6,7),(8,4)}
Find the direction V along which the two classes are best discriminated using the LDA.
(Get the μ_1,μ_2,S_W,S_B, V,W, and y following the procedure in Lec 9).
Plot the data before and after transformation using different colors for the two classes
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6.Please check options and pictures within the file attached.
If the questions can be answered within a free demo session
...
hin a free demo session as I have my answers, but just want to confirm them, that would be greatly appreciated.
Question 1:
A block of mass M = 0.10 kg is attached to one end of a spring with spring constant k = 100 N/m . The other end of the spring is attached to a fixed wall. The block is pushed against the spring, compressing it a distance x = 0.04 m . The block is then released from rest, and the block-spring system travels along a horizontal, rough track. Data collected from a motion detector are used to create a graph of the kinetic energy K and spring potential energy Us of the system as a function of the block's position as the spring expands. How can the student determine the amount of mechanical energy dissipated by friction as the spring expanded to its natural spring length?
Question 2:
The Atwood’s machine shown consists of two blocks connected by a light string that passes over a pulley of negligible mass and negligible friction. The blocks are released from rest, and m2 is greater than m1. Assume that the reference line of zero gravitational potential energy is the floor. Which of the following best represents the total gravitational potential energy U and total kinetic energy K of the block-block-Earth system as a function of the height h of block m1?
Question 3:
A 2 kg block is placed at the top of an incline and released from rest near Earth’s surface and unknown distance H above the ground. The angle θ between the ground and the incline is also unknown. Frictional forces between the block and the incline are considered to be negligible. The block eventually slides to the bottom of the incline after 0.75 s. The block’s velocity v as a function of time t is shown in the graph starting from the instant it is released. How could a student use the graph to determine the total energy of the block-Earth system?
Question 4:
A block slides across a flat, horizontal surface to the right. For each choice, the arrows represent velocity vectors of the block at successive intervals of time. Which of the following diagrams represents the situation in which the block loses kinetic energy?
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7.students are expected to research and compose a paper based on the application of concepts and theories examined in class.
...
ies examined in class. This paper is not a literature review, though a literature review is part of your work. As this course takes place in a compressed timeline, I provided some suggestions for research topics. Feel free to use one of these as a springboard or propose your own.
At the end of the second week of class, students submit a three-page research paper prospectus. A research prospectus is a preliminary plan for conducting a study. This is not a detailed and technical research proposal, but rather, an analysis of the issues likely confronted in such a study. In essence, it is a preliminary proposal of work.
Research Paper Prospectus Elements
To complete the Research Paper Prospectus, consider the following elements. While the prospectus is limited to three pages of body content, remember, students must cover each of these areas as relevant to the plan for research:
Research Problem. What is the research problem? A problem is a situation when left untreated, produces a negative consequence for a group, an institution, or a(n) individual(s). What makes it a problem? For whom? Who says so?
Assumptions. On what assumptions is the work based? Which assumptions are verifiable in literature? Which assumptions are speculative?
Theoretical Issues. What theoretical issues arise from the study? For example, "theoretically," how is the problem and suspected results explained to other scholars? Is there a behavior view? A social systems view? Are there other theoretical orientations to consider in the study's design?
Literature Review. What, in general, does the literature say about the topic? While more development is expected for the final paper, a review of major theories, research, and writers in the field is needed.
Research Questions. Based on the problem, what are the research questions to be answered? How and why will answering the questions contribute to solving the research problem? Remember....a research question can only be answered with empirical data or information.
General Research Plan. In general, what research is necessary to answer the research question. What kind of data is needed? Specify the type, such as surveys, observations, or interviews. Who is to be studied and why? How is the data reduced and made sense of? How is the quality of the data assured?
Anticipated Difficulties and Pitfalls. What kind of difficulties and pitfalls are expected in a study of this nature? What can be done to prevent them or minimize their effects?
Anticipated Benefits. Who will benefit from the fact this research is undertaken? How? Why? Who might be disturbed by this proposed study? How? Why?
Paper Format Requirements
The Research Paper Prospectus is presented in standard APA 7 format, with a cover page, running head, body, and references list. The cover page and references do not count toward the three-page requirement. The body uses headers and in-text citations in the manner prescribed by APA. Students should include any references they know at the time they submit the prospectus, though it is expected the references may change or increase in number. Full and complete adherence to APA is required.
APA Basics
As APA format is the rule, remember the formatting rules shown on the Sample Paper (Links to an external site.):
Times New Roman, 12pt
1" margins on all sides
Double spaced, with extra line spaces removed (see below)
Page numbers in the upper right
Two spaces after concluding punctuation
150-250 word abstract with keywords
APA-style in-text citations and quote format. Use the Purdue OWL in-text citation information (Links to an external site.)to help you.
Alphabetical (by author) reference page with correct reference format. DO NOT trust the reference generator in your word processing program. It is WRONG! Use the Purdue OWL references information (Links to an external site.)to correctly structure references and do so manually.
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8.ou are a consultant who works for the Diligent Consulting Group. In this Case, you are engaged on a consulting
...
consulting basis by Loving Organic Foods. In order to get a better idea of what might have motivated customers’ buying habits you are asked to analyze the ages of the customers who have purchased organic foods over the past 3 months. Past research done by the Diligent Consulting Group has shown that different age groups buy certain products for different reasons. Loving Organic Foods has sent a survey to 200 customers who have previously purchased organic foods, and 124 customers have responded. The survey includes age data of past customers who purchased organic foods in the previous quarter.
Case Assignment
Using Excel, create a frequency distribution (histogram) of the age data that was captured from the survey. You should consider the width of the age categories (e.g., 5 years, 10 years, or other). That is, which age category grouping provides the most useful information? Once you have created this histogram, determine the mean, median, and mode.
After you have reviewed the data, write a report to your boss that briefly describes the results that you obtained. Make a recommendation on how this data might be used for marketing purposes. Be sure to conduct adequate research on organic foods industry, organic market analysis, and healthy food industry using IBISWorld database or other databases such as Business Source Complete (EBSCO) and Business Source Complete - Business Searching Interface in our online library. Provide a brief description on the industry background and the consumer changing attitudes and behavior toward healthy lifestyles. Also identify the customer demographics of organic food industry and explain how the customers of Loving Organic Foods are different from this target market.
Data: Download the Excel-based data file with the age data of the 124 customers: Data chart for BUS520 Module 1 Case. Use these data in Excel to create your histogram.
Assignment Expectations
Excel Analysis
Complete analysis in Excel using the Histogram function. Please watch the following video which covers how to create a histogram in Excel: https://www.youtube.com/watch?v=GL91GrVf3EY
If you are not so familiar with Excel, refer to the following link on Excel training videos: https://support.office.com/en-us/article/Excel-training-9bc05390-e94c-46af-a5b3-d7c22f6990bb?ui=en-US&rs=en-US&ad=US
Check the professional market research reports from the IBISWorld database to conduct the industry analysis. IBISWorld can be accessed in the Trident Online Library.
IBISWorld Overview (n.d.). IBISWorld, Inc., New York, NY.
IBISWorld Forecast (n.d.). IBISWorld, Inc., New York, NY.
IBISWorld Data and Sources (n.d.). IBISWorld, Inc., New York, NY.
IBISWorld Navigation Tips (n.d.). IBISWorld, Inc., New York, NY.
Written Report
Length requirements: 4–5 pages minimum (not including Cover and Reference pages). NOTE: You must submit 4–5 pages of written discussion and analysis. This means that you should avoid use of tables and charts as “space fillers.”
Provide a brief introduction to/background of the problem.
Provide a brief description of organic food industry and target market characteristics such as their demographics, lifestyles and shopping behaviors.
Provide a written analysis that supports your Histogram age groups (bins).
Based on your analysis of the histogram data, provide complete and meaningful recommendations as the data relates to Loving Organic Foods’s marketing strategy.
Write clearly, simply, and logically. Use double-spaced, black Verdana or Times Roman font in 12 pt. type size.
Have an introduction at the beginning to introduce the topics and use keywords as headings to organize the report.
Avoid redundancy and general statements such as "All organizations exist to make a profit." Make every sentence count.
Paraphrase the facts using your own words and ideas, employing quotes sparingly. Quotes, if absolutely necessary, should rarely exceed five words.
Upload both your written report and Excel file to the case 1 Dropbox.
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9.Weight loss: In a study to determine whether counseling could help people lose weight, a sample of people experienced a
...
eople experienced a group-based behavioral intervention, which involved weekly meetings with a trained interventionist for a period of six months. The following data are the numbers of pounds lost for 14 people, based on means and standard deviations given in the article. Assume the population is approximately normal. Perform a hypothesis test to determine whether the mean weight loss is greater than 20 pounds. Use the =α0.10 level of significance and the critical value method.
22.5 28.5 7.6 24.1 21.5 12.9 17.3
21.2 37.6 33.8 12.1 36.3 24.1 19.4
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10.Task 1
You are asked to carry out a study on behalf of a business analytics specialised consultancy on a subsample
...
on a subsample of weekly data from Randall’s Supermarket, one of the biggest in the UK. Randall’s marketing management team wishes to identify trends and patterns in a sample of weekly data collected for a number of their loyalty cardholders during a 26-week period. The data includes information on the customers’ gender, age, shopping frequency per week and shopping basket price. Randall’s operates two different types of stores (convenient stores and superstores) but they also sell to customers via an online shopping platform. The collected data are from all three different types of stores. Finally, the data provides information on the consistency of the customer’s shopping basket regarding the type of products purchased. These can vary from value products, to brand as well as the supermarket’s own high-quality product series Randall’s Top. As a business analyst you are required to analyse those data, make any necessary modifications in order to determine whether for any single customer it is possible to predict the value of their shopping basket.
Randall’s marketing management team is only interested in identifying whether the spending of the potential customer will fall in one of three possible groups including:
• Low spender (shopping basket value of £25 or less)
• Medium Spender (shopping basket value between £25.01 and £70) and
• High spenders (shopping basket greater than £70)
For the purpose of your analysis you are provided with the data set Randall’s.xls. You have to decide, which method is appropriate to apply for the problem under consideration and undertake the necessary analysis. Once you have completed this analysis, write a report for the Randall’s marketing management team summarising your findings but also describing all necessary steps undertaken in the analysis. The manager is a competent business analyst himself/herself so the report can include technical terms, although you should not exceed five pages. Screenshots and supporting materials can be included in the appendix.
Requirements
After completing your analysis, you should submit a report that consists of two parts. Part A being a non-technical summary of your findings and Part B a detailed report of the analysis undertaken with more details.
Part A: A short report for the Head of Randall’s Marketing Management (20 per cent). This should briefly explain the aim of the project, a clear summary and justification of the methods considered as well as an overview of the results.
Although, the Head of Randall’s Marketing Management team who will receive this summary is a competent business analytics practitioner, the majority of the other team members have little knowledge of statistical modelling and want to know nothing about the technical and statistical underpinning of the techniques used in this analysis. This report should be no more than two sides of A4 including graphs, tables, etc. In this report you should include all the objectives of this analysis, summary of data and results as well as your recommendations (if any).
Part B: A technical report on the various stages of the analysis (80 per cent).
The analysis should be carried out using the range of analytics tools discussed:
• SPSS Statistics
Ensure that the exercise references:
• Binary and multinomial logistic regression
• Linear vs Logistic regression
• Logit Model with odds Ratio
• Co-efficients and Chi Squared
• MLR co-efficients
• Assessing usefulness of MLR model
• Interpreting a model
• Assessing over-all model fit with Psuedo R-Squared measures
• Classification accuracy (Hit Ratio)
• Wald Statistic
• Odd ratio exp(B)
• Ratio of the probability of an event happening vs not happening
• Ratio of the odds after a unit change in the predictor to the original odds
• Assumptions
• Residuals analysis
• Cook’s distance
• DfBeta
• Adequacy (with variance inflation factor VIF and tolerance statistic)
• Outliers and influential points cannot just be removed. We need to check them (typo? – unusual data?)
• Check for multicollinearity
• Parsimony
Write a short and concise report to explain the technical detail of what you have done for each step of the analysis.
The report should also cover the following information:
• Any type of analysis that might be useful and check whether the main assumptions behind the analyses do not hold or cannot be
• Give evidence of the understanding of the statistical tools that you are using. For example, comment on the model selection procedure and the coefficient interpretation, e.g. comment on the interpretation of the logistic regression coefficients if such a method is used and provide an example of
• Conclusions and explanation, in non-technical terms, of the main points
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11.I have a research project and need help, this is the data set description:
Health researchers have identified a rise in
...
identified a rise in contacting STIs (sexually transmitted infections) among young adults and are interested in understanding why. The researchers measured several variables related to condom use including: likelihood of using condoms in the future, previous use of condoms, perceived ability for self-control in sexual relationships, and perceived risk for contracting STIs.
Method
This study is looking to understand why there has been a rise in sexually transmitted infections. Participants were asked to answer 4 different questions and the results were analyzed.
Participants: Participants include 100 men and women ages ranging from 18-38. The mean age in this experiment is 24 years old and there is an equal amount of men and women.
Name of Independent Variable(s): Provide a description of all independent (or grouping) variables, including their levels. Each variable should be described separately and the name of each new variable should be indented and underlined.
Name of Dependent Variable: Provide a description of the dependent variable, including how it was operationalized.
Following the description of all your variables you should clearly state (in a sentence) the research question you intend to investigate. Next, you should say something along the lines of, “This research has the following hypotheses:
Ha: State the alternate hypothesis in BOTH conceptual and statistical form.
H0: State the null hypothesis in BOTH conceptual and statistical form
Also I need to know what analysis to complete in spss
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12.I am given the following scenario:
The process of interference is assumed to be responsible for much of forgetfulness in human
...
uch of forgetfulness in human memory. The processing of new information interferes with old memories. One demonstration of interference examines the process of forgetting while subjects are asleep versus while they are awake. Because there should be less interference during sleep, there also should be less forgetting. The following data are from an experiment examining six groups of participants. All participants were given a group of words to remember. Then half of the participants went to sleep, and the others stayed awake (factor A). Within both the asleep and awake groups, one third of the participants were tested after 2 hours, one third after 4 hours, and one third after 8 hours (factor B). The experimenter recorded the number of words correctly recalled.
We were given a bunch of SPSS post hoc output tables (attached). We need to draw conclusions (APA statements) from the post hoc and simple effects. I do not understand what information I am looking for.
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13.Relaxed and with hair blowing in the breeze, more looks like in the Pantene ad than in the viral video
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eo of Trump's hair,Relaxed and with hair blowing in the breeze, more looks like in the Pantene ad than in the viral video of Trump's hair, I pedaled over bumpy, dusty dirt paths around my 'dacha', the rural cottage, where like the most of Soviet children were spending the entire summer.
The bike wasn't mine. I have never had one. My family couldn't afford it. I borrowed it from my older neighbor. She was at that age when girls are starting to think more about a look and an outfit, rather than enjoying the thrill of a bicycle ride. But her bike wasn't available all the time, so I had to be persuasive to get a vehicle from someone else or to be an outsider-pedestrian. Recently, I was thinking, what if we would have this ‘sharing-mobility back then (to my childhood time).
But I was growing up before technology was everywhere and the internet was a thing. In those days, hand brakes and gears were unseen. Riders never wore helmets or special clothing and there were no bicycle lanes marked on streets. We couldn't buy a kick-scooter in a store, so we handmade it from wooden crates from landfills. Bicycles were prized possessions in the neighborhood. Much has changed in the 30 years since on both sides of the ocean.
Back in the 2010s, I worked as a project manager of the Russian Innovation Convention in Moscow, со-organized by Skolkovo’s Technopark and took place at the Skolkovo Innovation Center, Russia's version of Silicon Valley.
Working at the conventions of 2010 - 2012, I managed guests lists of 10+ thousand participants, young innovators, and entrepreneurs, looking for self-fulfillment in science and high-tech economy. I also worked closely with government officials and high profile speakers from the sphere of innovation. From 2010 to 2012 there were many renowned guests at the Convention, such as Richard Branson(Virgin); Bill Tai (KiteVC), Steve Wozniak (Apple), Harzh Taggar (“Y Combinator”) and so on. For me it was a unique opportunity to see both sides of the coin - get experience, and useful contacts to launch my venture somewhere in the future.
The Skolkovo "innovation town" outside Moscow, backed by technology-adherent Russian President Dmitry Medvedev as part of his modernization drive, was supposed to become the country's most ecologically friendly town, with cycle tracks, solar panels, and windmills. These ideas have appeared as a result of encouraging / inspirational visit of Mr. Medvedev and other Russian officials to the original Silicon Valley in California in 2010.
I remember when I first visitied Googleplex - Google's campus, it was unbelievable that the bikes come in all shapes and sizes, and are available to pretty much anyone to take just about wherever they please. It was truly brilliant! Google has a large campus that is spread across many miles and buildings. To get from one place to another would be a hassle without the bikes.
Over the past decade, corporate bike fleets have become commonplace on Silicon Valley campuses - Apple, Facebook, and others have campus bikes. Dockless and docked bikes have already occupied big cities. Almost 10 years later, Russia's version of Silicon Valley still doesn’t have anything similar. E-bikes are good, but E-scooters might be the new thing.
Having ties with my former colleagues at Skolkovo, we are negotiating that the technopark will launch BRiZ e-scooters sharing in 2020. The system should help Skolkovo employees move faster across a fairly large area of the center. BRIZ is a smart dock-less mobility platform, which offers dock-free electric scooter rentals to fulfill short distance, urban and other trips. I am the co-founder and CEO of BRiZ Mobility.
But, let's start from the very beginning.
I pedaled over bumpy, dusty dirt paths around my 'dacha', the rural cottage, where like the most of Soviet children were spending the entire summer.
The bike wasn't mine. I have never had one. My family couldn't afford it. I borrowed it from my older neighbor. She was at that age when girls are starting to think more about a look and an outfit, rather than enjoying the thrill of a bicycle ride. But her bike wasn't available all the time, so I had to be persuasive to get a vehicle from someone else or to be an outsider-pedestrian. Recently, I was thinking, what if we would have this ‘sharing-mobility back then (to my childhood time).
But I was growing up before technology was everywhere and the internet was a thing. In those days, hand brakes and gears were unseen. Riders never wore helmets or special clothing and there were no bicycle lanes marked on streets. We couldn't buy a kick-scooter in a store, so we handmade it from wooden crates from landfills. Bicycles were prized possessions in the neighborhood. Much has changed in the 30 years since on both sides of the ocean.
Back in the 2010s, I worked as a project manager of the Russian Innovation Convention in Moscow, со-organized by Skolkovo’s Technopark and took place at the Skolkovo Innovation Center, Russia's version of Silicon Valley.
Working at the conventions of 2010 - 2012, I managed guests lists of 10+ thousand participants, young innovators, and entrepreneurs, looking for self-fulfillment in science and high-tech economy. I also worked closely with government officials and high profile speakers from the sphere of innovation. From 2010 to 2012 there were many renowned guests at the Convention, such as Richard Branson(Virgin); Bill Tai (KiteVC), Steve Wozniak (Apple), Harzh Taggar (“Y Combinator”) and so on. For me it was a unique opportunity to see both sides of the coin - get experience, and useful contacts to launch my venture somewhere in the future.
The Skolkovo "innovation town" outside Moscow, backed by technology-adherent Russian President Dmitry Medvedev as part of his modernization drive, was supposed to become the country's most ecologically friendly town, with cycle tracks, solar panels, and windmills. These ideas have appeared as a result of encouraging / inspirational visit of Mr. Medvedev and other Russian officials to the original Silicon Valley in California in 2010.
I remember when I first visitied Googleplex - Google's campus, it was unbelievable that the bikes come in all shapes and sizes, and are available to pretty much anyone to take just about wherever they please. It was truly brilliant! Google has a large campus that is spread across many miles and buildings. To get from one place to another would be a hassle without the bikes.
Over the past decade, corporate bike fleets have become commonplace on Silicon Valley campuses - Apple, Facebook, and others have campus bikes. Dockless and docked bikes have already occupied big cities. Almost 10 years later, Russia's version of Silicon Valley still doesn’t have anything similar. E-bikes are good, but E-scooters might be the new thing.
Having ties with my former colleagues at Skolkovo, we are negotiating that the technopark will launch BRiZ e-scooters sharing in 2020. The system should help Skolkovo employees move faster across a fairly large area of the center. BRIZ is a smart dock-less mobility platform, which offers dock-free electric scooter rentals to fulfill short distance, urban and other trips. I am the co-founder and CEO of BRiZ Mobility.
But, let's start from the very beginning.
I am a politician, public servant and started my career as a grassroots organizer in 2006. In the decade since, I have taken part in several political movements, coordinated numerous political events, organized a political party, run for office, and held leadership positions in the federal government.
Since I became involved in public service, I’ve been always advocating for government transparency. The information era and its accompanying tech boom expanded my toolkit. From 2013 to 2016, I coordinated grant competitions for youth all over Russia at the Ministry of Education and its subdivision Federal Agency of Youth Affairs. Two of the biggest challenges facing my team were securely collecting and storing personal data of the participants (33 million youth people in Russia) and implementing a transparent, fair process for selecting grant winners and distributing funds to them. Our solution, the Automatic Information System (AIS) "Youth of Russia," was implemented in 2014, and since then this system is operating. This experience was valuable in terms of managing developers' team, develop a user-friendly big data platform, as well as pushing the slow bureaucratic structures on digital reforms.
I completed my Master's degree in 2015 and started my PhD, doing my Masters's degree in Public Administration and a Ph.D. in economics simultaneously. I was then recruited by Moscow Government to work on the preparation of Moscow as one of the Host Cities for the 2018 FIFA World Cup. However, sometime later, my application was accepted by three Ivy League universities and I moved to New York to study at Columbia University, School of international and public affairs in 2017.
The past year at Columbia University has shifted my academic and professional passions towards the Sustainable Development Goals, among them Sustainable cities and communities (including transportation), 'Gender Equality, and its influence on a broad range of fields.
At SIPA, I chose Management & Innovation Concentration. Because my background wasn't in tech, I knew I needed to fill some skill gap areas. So I took the opportunity to load up on courses that focus on innovations, sustainability, and urban policy. One of the extremely useful classes was 'Strategic Management of Information & Communications Technologies for the Public Good with Prof. Robert Z Tumin, where we have been examining different policy and managerial cases, and use of established and leading-edge information and communication technologies, among them in transportation (Uber Case). Another one was 'Implementation of Sustainability Strategies' with Prof. Todd Cort. One of the final research project at that class was related to the environmental impact of transport in Europe and the analysis of the combination of bikes and trains that can provide an alternative to less sustainable modes, such as private motor vehicles. In the Fall of 2018, my final portfolio project at SIPA had transformed into my startup business plan, investor pitch deck, and profound research on the market opportunity and competition.
My team and I launched the company in February 2019. In the past 9 months following up on the launch of BRiZ, I have been working on a series of tasks to get the business off the ground. So that included everything from submitting our incorporation documents, raising capital, negotiating with suppliers, implementing operations, and developing partnerships to get the business fully up and running. Now that we have launched, my job is continuing to fundraise, work towards our expansion goals, work with governments and oversee the day-to-day operations.
Having a public policy background, I also the one who will manage the implementation of technology that will help the company to work smoothly with regulators. BRiZ’s engineers work on imposing parking restrictions so that scooters can’t be parked in spaces rejected by a city; imposing speed limits on scooters within certain parts of a city, and lock scooters that violate those rules. Besides controlling how its scooters work, BRiZ can share its data with city officials to help cities understand traffic patterns and find the best settings for these green transportation solutions. If we have a good relationship with the city, we’ll be able to find the sensible ground where we’re truly improving transportation.
According to my research, made before launching BRiZ, most of the electric kick scooters in the scooter-sharing market were designed with serious downsides, such as short lifespan, loads of unnecessary functions, lacking must-have safety features, etc. So, we recreated something that everyone already knows and creates a functional and smart prototype - more efficient - two times longer lifespan (12 months) and is, therefore, two times more profitable than potential competitors. We are going to start with launching a pilot sharing platforms at the beginning of 2020, in major cities around New York; and in Spring 2020 in several major Russian cities and Skolkovo ‘innovation town’. Now, we are meeting different strategic partners and take negotiations with municipalities.
eScooters have flooded the streets of world cities. Cities are relatively down for this new era of transportation. Fans of micro-mobility praise its ability to provide efficient and eco-friendly rides. Opponents have questioned the safety and sustainability of micro-mobility. In media micro sharing mobility as part of the trend of the sharing economy can be described as the future durable trend so as a new version of communism.
As a millennial leader thinking about trends transforming the global landscape, I would like to utilize my skills, experience, and expertise in issues relating to the interface between sustainable urban development and transport technologies. I am confident that I would bring a strong foundation in understanding the current and future trends. In my objectives to create the multi-functional platform / system to make our urban logistics safer, cleaner, healthier, fairer, and more productive, and to examine the deeper implications of where this new transportation technology wave has led us—and where we want to go next. I see the common ground and research direction with 'The City Science' and Viral Communications research groups. questions cannot be answered in separation. Working under the mentorship at the Lab I want to continue my interdisciplinary trajectory in academic research and practical work.
So, today, I’m back on two wheels, helmet strapped on, following new millennial rules of the road. Relaxed and with hair blowing in the breeze, ride/scoot an electric BRiZ into 2020 to figure out what's going on.
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14.Relaxed and with hair blowing in the breeze, more looks like in the Pantene ad than in the viral video
...
eo of Trump's hair, I pedaled over bumpy, dusty dirt paths around my 'dacha', the rural cottage, where like the most of Soviet children were spending the entire summer.
The bike wasn't mine. I have never had one. My family couldn't afford it. I borrowed it from my older neighbor. She was at that age when girls are starting to think more about a look and an outfit, rather than enjoying the thrill of a bicycle ride. But her bike wasn't available all the time, so I had to be persuasive to get a vehicle from someone else or to be an outsider-pedestrian. Recently, I was thinking, what if we would have this ‘sharing-mobility back then (to my childhood time).
But I was growing up before technology was everywhere and the internet was a thing. In those days, hand brakes and gears were unseen. Riders never wore helmets or special clothing and there were no bicycle lanes marked on streets. We couldn't buy a kick-scooter in a store, so we handmade it from wooden crates from landfills. Bicycles were prized possessions in the neighborhood. Much has changed in the 30 years since on both sides of the ocean.
Back in the 2010s, I worked as a project manager of the Russian Innovation Convention in Moscow, со-organized by Skolkovo’s Technopark and took place at the Skolkovo Innovation Center, Russia's version of Silicon Valley.
Working at the conventions of 2010 - 2012, I managed guests lists of 10+ thousand participants, young innovators, and entrepreneurs, looking for self-fulfillment in science and high-tech economy. I also worked closely with government officials and high profile speakers from the sphere of innovation. From 2010 to 2012 there were many renowned guests at the Convention, such as Richard Branson(Virgin); Bill Tai (KiteVC), Steve Wozniak (Apple), Harzh Taggar (“Y Combinator”) and so on. For me it was a unique opportunity to see both sides of the coin - get experience, and useful contacts to launch my venture somewhere in the future.
The Skolkovo "innovation town" outside Moscow, backed by technology-adherent Russian President Dmitry Medvedev as part of his modernization drive, was supposed to become the country's most ecologically friendly town, with cycle tracks, solar panels, and windmills. These ideas have appeared as a result of encouraging / inspirational visit of Mr. Medvedev and other Russian officials to the original Silicon Valley in California in 2010.
I remember when I first visitied Googleplex - Google's campus, it was unbelievable that the bikes come in all shapes and sizes, and are available to pretty much anyone to take just about wherever they please. It was truly brilliant! Google has a large campus that is spread across many miles and buildings. To get from one place to another would be a hassle without the bikes.
Over the past decade, corporate bike fleets have become commonplace on Silicon Valley campuses - Apple, Facebook, and others have campus bikes. Dockless and docked bikes have already occupied big cities. Almost 10 years later, Russia's version of Silicon Valley still doesn’t have anything similar. E-bikes are good, but E-scooters might be the new thing.
Having ties with my former colleagues at Skolkovo, we are negotiating that the technopark will launch BRiZ e-scooters sharing in 2020. The system should help Skolkovo employees move faster across a fairly large area of the center. BRIZ is a smart dock-less mobility platform, which offers dock-free electric scooter rentals to fulfill short distance, urban and other trips. I am the co-founder and CEO of BRiZ Mobility.
But, let's start from the very beginning.
I am a politician, public servant and started my career as a grassroots organizer in 2006. In the decade since, I have taken part in several political movements, coordinated numerous political events, organized a political party, run for office, and held leadership positions in the federal government.
Since I became involved in public service, I’ve been always advocating for government transparency. The information era and its accompanying tech boom expanded my toolkit. From 2013 to 2016, I coordinated grant competitions for youth all over Russia at the Ministry of Education and its subdivision Federal Agency of Youth Affairs. Two of the biggest challenges facing my team were securely collecting and storing personal data of the participants (33 million youth people in Russia) and implementing a transparent, fair process for selecting grant winners and distributing funds to them. Our solution, the Automatic Information System (AIS) "Youth of Russia," was implemented in 2014, and since then this system is operating. This experience was valuable in terms of managing developers' team, develop a user-friendly big data platform, as well as pushing the slow bureaucratic structures on digital reforms.
I completed my Master's degree in 2015 and started my PhD, doing my Masters's degree in Public Administration and a Ph.D. in economics simultaneously. I was then recruited by Moscow Government to work on the preparation of Moscow as one of the Host Cities for the 2018 FIFA World Cup. However, sometime later, my application was accepted by three Ivy League universities and I moved to New York to study at Columbia University, School of international and public affairs in 2017.
The past year at Columbia University has shifted my academic and professional passions towards the Sustainable Development Goals, among them Sustainable cities and communities (including transportation), 'Gender Equality, and its influence on a broad range of fields.
At SIPA, I chose Management & Innovation Concentration. Because my background wasn't in tech, I knew I needed to fill some skill gap areas. So I took the opportunity to load up on courses that focus on innovations, sustainability, and urban policy. One of the extremely useful classes was 'Strategic Management of Information & Communications Technologies for the Public Good with Prof. Robert Z Tumin, where we have been examining different policy and managerial cases, and use of established and leading-edge information and communication technologies, among them in transportation (Uber Case). Another one was 'Implementation of Sustainability Strategies' with Prof. Todd Cort. One of the final research project at that class was related to the environmental impact of transport in Europe and the analysis of the combination of bikes and trains that can provide an alternative to less sustainable modes, such as private motor vehicles. In the Fall of 2018, my final portfolio project at SIPA had transformed into my startup business plan, investor pitch deck, and profound research on the market opportunity and competition.
My team and I launched the company in February 2019. In the past 9 months following up on the launch of BRiZ, I have been working on a series of tasks to get the business off the ground. So that included everything from submitting our incorporation documents, raising capital, negotiating with suppliers, implementing operations, and developing partnerships to get the business fully up and running. Now that we have launched, my job is continuing to fundraise, work towards our expansion goals, work with governments and oversee the day-to-day operations.
Having a public policy background, I also the one who will manage the implementation of technology that will help the company to work smoothly with regulators. BRiZ’s engineers work on imposing parking restrictions so that scooters can’t be parked in spaces rejected by a city; imposing speed limits on scooters within certain parts of a city, and lock scooters that violate those rules. Besides controlling how its scooters work, BRiZ can share its data with city officials to help cities understand traffic patterns and find the best settings for these green transportation solutions. If we have a good relationship with the city, we’ll be able to find the sensible ground where we’re truly improving transportation.
According to my research, made before launching BRiZ, most of the electric kick scooters in the scooter-sharing market were designed with serious downsides, such as short lifespan, loads of unnecessary functions, lacking must-have safety features, etc. So, we recreated something that everyone already knows and creates a functional and smart prototype - more efficient - two times longer lifespan (12 months) and is, therefore, two times more profitable than potential competitors. We are going to start with launching a pilot sharing platforms at the beginning of 2020, in major cities around New York; and in Spring 2020 in several major Russian cities and Skolkovo ‘innovation town’. Now, we are meeting different strategic partners and take negotiations with municipalities.
eScooters have flooded the streets of world cities. Cities are relatively down for this new era of transportation. Fans of micro-mobility praise its ability to provide efficient and eco-friendly rides. Opponents have questioned the safety and sustainability of micro-mobility. In media micro sharing mobility as part of the trend of the sharing economy can be described as the future durable trend so as a new version of communism.
As a millennial leader thinking about trends transforming the global landscape, I would like to utilize my skills, experience, and expertise in issues relating to the interface between sustainable urban development and transport technologies. I am confident that I would bring a strong foundation in understanding the current and future trends. In my objectives to create the multi-functional platform / system to make our urban logistics safer, cleaner, healthier, fairer, and more productive, and to examine the deeper implications of where this new transportation technology wave has led us—and where we want to go next. I see the common ground and research direction with 'The City Science' and Viral Communications research groups. questions cannot be answered in separation. Working under the mentorship at the Lab I want to continue my interdisciplinary trajectory in academic research and practical work.
So, today, I’m back on two wheels, helmet strapped on, following new millennial rules of the road. Relaxed and with hair blowing in the breeze, ride/scoot an electric BRiZ into 2020 to figure out what's going on.
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15.ATTACHED ARE GRAPHS
QUESTION 1
Q1 to Q4
The job satisfaction for the four occupational groups were used (lawyer, physical therapist, cabinetmakers, and
...
oups were used (lawyer, physical therapist, cabinetmakers, and system analysts). The results obtained for a sample of 5 individuals from each groups. Using the "ANOVA Output" below, please answer the following questions ( Use the significance level 5%).
Q1. The value of the test statistic is ____________
QUESTION 2
Q2. The p- value of the test is _________________
QUESTION 3
Q3. At the 5% significance level, the null hypothesis is rejected if the value of the F statistics is >= _________________
QUESTION 4
Q4. Interpret the ANOVA result at the 5% significance level. Is there any difference in the job satisfaction among the four occupational groups? Answer either yes or no. Explain the reason of your answer statistically.
QUESTION 5
Data from a Trucking Company is Southern California were utilized to examine the relationship among total daily travel time (y), miles to traveled (X1), and the number of deliveries (x2). Based on the "Regression Output" below, please answer the following questions.
Q5. The number of sample used in this regression analysis is______________
QUESTION 6
Q6. What is the value of the coefficient of determination?
QUESTION 7
Q7. What is the F test statistic value for the regression model significane test?
QUESTION 8
Q8. What is the predicted travel time for X1 =95, and X2= 6?
QUESTION 9
Q9. Is X2 (number of deliveries) related to Y (travel time)? Answer either yes or no. Explain the reason of your answer statistically.
ATTACHED ARE GRAPHS
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16.Professor Maya was interested in maximizing student learning in all her classes. She decided the best way to do that
...
t way to do that would be to investigate her students’ test performance in a number of ways.
The first thing she did was separate her students’ test scores based on the time of day she held her lectures (morning vs evening). Next she recorded the type of test students were writing (multiple choice vs short answer). She selected a random sample of students from her morning (n = 6) and evening (n = 7) classes (total of 13) and recorded scores from two of their tests as shown below.
Morning
Evening
Multiple Choice
Short Answer
Multiple Choice
Short Answer
66
74
70
45
64
55
80
55
72
77
78
55
70
57
84
60
61
58
64
70
67
69
84
60
70
63
DATA Set 1:
Good morning sunshine. Is Time of Day important?
1. Prof. Maya recently read an article that concluded students retained more information when attending classes in the morning. Based on this finding she thought students in her morning class might have performed differently on their Short Answer test scores when compared to students in her evening class. Does the data support her hypothesis? [15 points]
Multiple Guess! Does Exam Type matter?
2. Prof. Maya also knew that students often did better on multiple-choice tests because they only have to recognize the information (rather than recall it). Given this, she thought students attending the morning class might perform differently on the Multiple-Choice test when compared to the Short Answer test. Does the data support her hypothesis? [15 points]
DATA Set 2:
We’ll try anything once. Does the new Tutorial Plan work?
3. Combining all of her students (and ignoring time of day), Prof. Maya asked her TAs to try a new – and very expensive - tutorial study plan. She then chose a random sample of 20 students to receive the new study plan and another sample of 30 to continue using the old study plan. Following an in-class quiz, she divided the students into 3 levels of achievement (below average, average, and above average), and then created the frequency table below. Does the new expensive tutorial study plan improve student performance? [15 points]
Below average
Average
Above Average
New plan
7
7
6
Old plan
6
15
9
DATA Set 3:
How are YOU doing?
4. Finally, Prof. Maya thinks that her 2018 class is doing better than her 2017 class did. She decided to collect a sample of test scores from the students in her course this year (combining all of the groups) and compare the average with her previous year’s class average. Does the data support her hypothesis? [15 points]
The 2017 class average = 63%
The 2018 sample size = 25
The 2018 sample standard deviation = 11
The 2018 sample average = use your actual midterm mark (yes, you the student reading this :)
Bonus: What does it all mean?
5. Bonus: IF Prof. Maya had complete control of how and when she ran her course in 2018, considering all the info you just found in the 3 data sets, write a brief statement of how you would recommend she set-up the course next year – and explain why. [5 points]
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17.Professor Maya was interested in maximizing student learning in all her classes. She decided the best way to do that
...
t way to do that would be to investigate her students’ test performance in a number of ways.
The first thing she did was separate her students’ test scores based on the time of day she held her lectures (morning vs evening). Next she recorded the type of test students were writing (multiple choice vs short answer). She selected a random sample of students from her morning (n = 6) and evening (n = 7) classes (total of 13) and recorded scores from two of their tests as shown below.
DATA Set 1:
Good morning sunshine. Is Time of Day important?
1. Prof. Maya recently read an article that concluded students retained more information when attending classes in the morning. Based on this finding she thought students in her morning class might have performed differently on their Short Answer test scores when compared to students in her evening class. Does the data support her hypothesis? [15 points]
Multiple Guess! Does Exam Type matter?
2. Prof. Maya also knew that students often did better on multiple-choice tests because they only have to recognize the information (rather than recall it). Given this, she thought students attending the morning class might perform differently on the Multiple-Choice test when compared to the Short Answer test. Does the data support her hypothesis? [15 points]
DATA Set 2:
We’ll try anything once. Does the new Tutorial Plan work?
3. Combining all of her students (and ignoring time of day), Prof. Maya asked her TAs to try a new – and very expensive - tutorial study plan. She then chose a random sample of 20 students to receive the new study plan and another sample of 30 to continue using the old study plan. Following an in-class quiz, she divided the students into 3 levels of achievement (below average, average, and above average), and then created the frequency table below. Does the new expensive tutorial study plan improve student performance? [15 points]
Below average
Average
Above Average
New plan
7
7
6
Old plan
6
15
9
DATA Set 3:
How are YOU doing?
4. Finally, Prof. Maya thinks that her 2018 class is doing better than her 2017 class did. She decided to collect a sample of test scores from the students in her course this year (combining all of the groups) and compare the average with her previous year’s class average. Does the data support her hypothesis? [15 points]
The 2017 class average = 63%
The 2018 sample size = 25
The 2018 sample standard deviation = 11
The 2018 sample average = use your actual midterm mark (yes, you the student reading this :)
Bonus: What does it all mean?
5. Bonus: IF Prof. Maya had complete control of how and when she ran her course in 2018, considering all the info you just found in the 3 data sets, write a brief statement of how you would recommend she set-up the course next year – and explain why. [5 points]
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