1.
Take me as someone who has always had an interest in air pollution, but doesn't have the time to learn
...
earn about it independently. I am hiring you to learn all that you can about it and put together a report that will summarize all the information so that I can learn as much as I can in as little time as possible. Here is what you need to include in your report:
An explanation of air pollution. What is air pollution? //
Explain 4 causes of air pollution.
Explain 2 sources of air pollution. What are the toxins or pollutants that contaminate the air?
Explain at least 5 effects of air pollution on human health and/or the environment.
Explain 3 solutions to stopping air pollution. What can be done by the government or private organizations?
Work cited page should also be included, listing all the sources you used to get your information.
THIS REPORT SHOULD BE TYPED AND ORGANIZED IN 5 OR MORE PARAGRAPHS. READ THE RUBRIC BELOW CAREFULLY TO UNDERSTAND HOW THIS PROJECT WILL BE GRADED!!
WORKS CITED PAGE
General guidelines for citing sources:
List entries alphabetically by author (if no author list title first)
Separate entries with periods
General format:
Author, last name first. "Webpage title." Website title. Date published/updated. Organization/publisher. Date accessed. < URL >
Example:
Landsberger, Joseph. “Citing Websites." Study Guides and Strategies . 12 May 2005. University of
X. 13 May 2005. < http://www.studygs.net/citation.htm >.
These websites will format your citations for you: http://citationmachine.net/ & http://easybib.com/
**You should use google slides or powtoons to put together your information. You should have a minimum of 6 slides not including the title slide with your name.** DUE FRIDAY, APRIL 3, 2020
Rubric
Criteria
Points
Information Included
Three or more required elements are missing (not including additional facts).
(20 points)
1 or 2 required elements are missing (not including additional facts).
(30 points)
All required information is present, but no additional information is given.
(40 points)
All required information is present, including two additional facts.
(50 points)
_________
Quality of information
Information has little or nothing to do with the main topic OR sections do not provide any supporting detail or explanation.
(5 points)
Information clearly relates to the topic, but some sections are lacking detail and explanation.
(10 points)
Information clearly relates to the main topic and all sections include some supporting detail and explanation.
(15 points)
Information clearly relates to the main topic and all sections include significant supporting details and explanation.
(20 points)
________
Format
Title page is not present at all AND/OR there are errors in typing, spacing, no picture, etc.
(5 points)
Product has improperly formatted title page AND/OR no picture or not creative.
(8 points)
Product has incorrectly formatted title page and has pictures.
(12 points)
Product has a title page in the proper format, has pictures and is creative.
(15 points)
________
Spelling/Grammar
5 or more grammatical, spelling or punctuation errors present throughout the product.
(2 points)
3-4 grammatical, spelling or punctuation errors present throughout the product.
(3 points)
1-2 grammatical, spelling or punctuation errors present throughout the product.
(4 points)
No grammatical, spelling or punctuation errors present throughout the product.
(10 points)
________
Works Cited
Works Cited page not present.
(2 points)
All sources are documented with 3-4 errors in format OR Works Cited is not done a separate page.
(3 points)
Works Cited is done on a separate page and all sources are documented with 1-2 errors in format.
(4 points)
Works Cited is done on a separate, properly headed page with all sources documented in proper Works Cited format.
(5 points)
________
Total
_____/100
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2.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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