1.Look at your Qualitative 1, from the bar graph.
a. Make a claim about one of the categories in the bar
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bar graph. Do not do any calculations with your data before making your claim. Record your claim.
b. Then test your claim using hypothesis testing. Show all steps by recording any calculator/Excel commands used. Discuss your conclusion.
9. ____/ 10 points: Look at Quantitative 2, from the measures of central tendencies.
i. Make a claim about the true population mean. Do not do any calculations with your data before making your claim. Record your claim.
ii. Then test your claim using hypothesis testing. Show all steps by recording any calculator/Excel commands used. Discuss your conclusion.
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2.Make A Claim Look at your Qualitative 1, from the bar graph.
a. Make a claim about one of the categories
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ories in the bar graph. Do not do any calculations with your data before making your claim. Record your claim.
b. Then test your claim using hypothesis testing. Show all steps by recording any calculator/Excel commands used. Discuss your conclusion.
9. ____/ 10 points: Look at Quantitative 2, from the measures of central tendencies.
i. Make a claim about the true population mean. Do not do any calculations with your data before making your claim. Record your claim.
ii. Then test your claim using hypothesis testing. Show all steps by recording any calculator/Excel commands used. Discuss your conclusion.
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8.Assignment Deliverables
For all annotation, your final submission should include the:
• Completed Annotation in MS Words or Pdf format.
Annotation Format
Your article annotation
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mpleted Annotation in MS Words or Pdf format.
Annotation Format
Your article annotation should have four sections as described below:
Section 1 – Article Information Marks: 1
1. Title of the Article
2. Name of the Author(s)
3. Source of the Article
a. Journal Name
b. Publication Details – Year, Volume, Issue, and page nos.
Section 2 – Preliminary Analysis (1 Paragraph). Marks: 2
1. Purpose of Research – summarize aim of the study and specific research objectives
2. Nature of Research – is the study exploratory, descriptive, causal?
3. Theoretical Framework – describe the model followed or proposed in the study
4. Conclusion – summarize the major findings of the study.
Section 3 – Methods & Empirics (3 Paragraphs). Marks: 3
1. Research Method – describe in detail the research method used in this study.
If the author(s) does not discuss the research method in detail, or the explanation is not clear from the article, please refer to external sources.
2. Data Collection
a. Identify the prime mode of data collection.
b. Describe the process of data collection.
c. Discuss the measuring instrument.
3. Sampling Technique
a. Identify the target population.
b. Describe the sampling technique.
c. Assess how well the sample represents the population.
4. Goodness of Measures & Analysis
a. Describe the efforts made by the researcher(s) to ensure reliability & validity of the study.
b. Describe the tools used for analyzing the data.
Section 4 – Critical Review (2 Paragraphs). Marks: 4
Use this space to note your overall evaluation of the article. In your opinion, how good this article was compared to other articles, either in the discipline/area, or in the same journal
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10.1. A ball is thrown with an initial speed of 20 m/s at an angle of 60° to the ground.
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ance is negligible, what is the ball’s speed at the instant it reaches its maximum height from the ground?
A. - 20 m/s
B. 0 m/s
C. + 17.3 m/s
D. + 10 m/s
E. + 20 m/s
2. A rhino charges full speed at a car with an initial velocity of 15 m/s. When the rhino collides with the car, it crumples in by 1 m before the rhino comes to a complete stop. What acceleration did the rhino feel as it came to a stop?
A. - 112.5 m/s^2
B. - 7.5 m/s^2
C. - 30 m/s^2
D. + 112.5 m/s^2
E. + 30 m/s^2
F. + 7.5 m/s^2
3. Two students want to determine the speed at which a ball is released when thrown vertically upward into the air. One student throws the ball into the air while the other student measures the total time that the ball is in the air. The students use a meterstick to measure the release height of the ball. Which of the following equations should the students use to determine the speed at which the ball was released? *
A. Use y final = y initial+ v initial *t + (1/2)*a*t^2 from the moment in time in which the ball was released to the moment in time in which the ball reaches its highest point.
B. v final^2 = v initial ^2 + 2a(????y) from the moment in time in which the ball was released to the moment in time in which the ball hits the ground.
C. Use y final = y initial+ v initial *t + (1/2)*a*t^2 from the moment in time in which the ball was released to the moment in time in which the ball hits the ground.
D. v final^2 = v initial ^2 + 2a(????y) from the moment in time in which the ball was released to the moment in time in which the ball reaches its highest point.
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11.Task 1
You are asked to carry out a study on behalf of a business analytics specialised consultancy on a subsample
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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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21.Plagiarism is the presentation of the words, ideas, or opinions of someone else as your own. (2) You are guilty
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are guilty of plagiarism if you submit as your own the words, ideas, or arrangement of material found in sources, such as books, magazines, or pamphlets (including Cliff's Notes), without crediting the source. (3) The ideas and opinions of someone else, even though expressed in your own words, must be acknowledged in the text or in a footnote. (4) You are also guilty of cheating/plagiarism if you copy the work of a fellow student, friend, or relative who is no longer in school or an essay from an internet source and submit it as your own. (5) A student who allows such copying is also guilty of plagiarism.
(6) Penalties English classes for cheating/plagiarism include:
an F grade (0) for the work involved:
an automatic F in conduct;
oral and/or written reprimands and/or referrals that will become part of your permanent record.
(7) Colleges and universities don't play around with kids who plagiarize. (8) A student at the state university was accused of plagiarism last year. (9) The practice of obtaining essays from internet sources is increasing. (10) In order to protect the validity of a degree. (11) Colleges are taking serious measures to punish those students who "buy" papers. (12)Two common penalties are suspension and expulsion. (13) A guilty student may be suspended for a certain amount of time (a year or a semester). (14) If a student is expelled, he/she may never again return to that institution or to any accredited college or university in the nation.
Question:
Read this text to identify one example of plagiarism. Then identify one consequence of plagiarism at the college level. Be sure your response uses examples from the text.
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