Research Project & Presentation
Your Task: Create a Google Drive Presentation that demonstrates your knowledge and understanding of significant concepts in
your knowledge and understanding of significant concepts in Biology and Chemistry. Describe the relationship of some or all of the significant concepts that you identify through the use of a specific example.
General Format of the Presentation:
Twelve Slides (Minimum).
Two Appropriate and Interesting Videos - length of the video must be reasonable and content must be focused.
Three interactive links must be included.
Appropriate and well-placed pictures and illustrations.
1 - 2 uses of audio recordings - i.e. you describing knowledge that contributes to your
Minimal use of text alone.
Multimedia used to convey knowledge and understanding on each slide.
3 Big Ideas in Biology - *must include the basic unit of life, the Cell, and why it is important to the structure, function, and evolution of life on Earth.
3 Big Ideas in Chemistry - *must include the basic unit of matter, the Atom, and why it is
important to the structure, function, and evolution of life on Earth.
Specific Example: Pick Your Own Example that combines some or all of your big ideas from Biology and Chemistry and describe how those big ideas affect the structure, function, and evolution of your example.
Example 1: The Ocean
Think of the ocean as a biome made up of non-living and living things.
How do your big ideas in biology and chemistry relate to the structure, function, and evolution of the oceans?
Include descriptions (examples) of the relationship between the non-living (chemistry) and living (biology) things in oceans.
Example 2: A Bear
Think of a bear as a living organism that is made up of and relies upon non-living (chemistry) and living (biology) things.
What is the bear made up of? Cells that form ________ that form _________ that form _________ that form the bear.
What does a bear eat? What nutrients does a bear get from the specific foods that it eats?
How do these nutrients (chemical elements of a bear’s diet) contribute to the growth, function, and structure of the bear?
**You may use one of the examples provided or pick your own.
Step 1: Identify 3 big ideas in Biology ( 1 idea must be the Cell, basic unit of life)
Step 2: Identify 3 big ideas in Chemistry (1 idea must be the Atom, basic unit of matter)
Step 3: Choose your specific example.
Step 4: Slide 1 - Project Title Slide.
Step 5: Slides 2 - 11 (minimum) - Body of Project.
Step 6: Slide 12 - Conclusion.
Step 7: Turn in your presentation for my revisions.
Step 8: Revise.
Step 9: Turn in your final research project presentation for grading.
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.
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
• Residuals analysis
• Cook’s distance
• 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
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