Statistics project

Description

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Group Assignment part 1

General assignment concept:

‘You are a group of statisticians who work for an automotive industry magazine. Information has been compiled on a sample of cars and you have been asked to investigate any interesting or meaningful relationships that may exist in these data and create a written report of your results and findings. This information will be used in an article that will appear in an upcoming edition of the magazine.’

Assignment Requirements:

We will write a report that covers 3 questions about the car data. We will need to:

  1. Write a report introduction
  • Overview of project
  • Why we chose these questions
  • Analyses that were performed
  • Define the data and explain any transformations on the data
  • Discuss outliers
  1. Answer three questions by completing the following for each question:
  • Provide some meaningful descriptive statistics about the data such as mean, median, standard deviation, range, quartiles, IQR, fences, outliers, etc.
  • Put this meaningful data in a table.
  • Include charts that will best display the data –usually bar graphs, histograms, regression plots, are effective, but other types of charts presented in the textbook may also be helpful. Make sure your tables and charts are appropriately labeled and clearly discussed in your text. Large data tables showing transformations, if necessary, should be placed in an appendix so as not to interfere with the flow of the report.

Our group’s questions:

Q1b): Is there a significant difference in mean city MPG between lighter cars (cars weighing between 2000-2700 lbs) and heavier cars (cars weighing between 2800-3100 lbs)? [Difference between means]

Q2b): Is there an association between the type of car and the price? (consider the three price categories). [Chi-square]

Q3b): Is there a relationship between car horsepower and city MPG for cars weighing 2500-4000lbs? [Regression]

  1. Conclusion:

Summary of your analyses and recommendations for further study.

  1. Lessons learned

Thoughts and comments about your group project experience, and

suggestions for improving the group project or online statistics course.

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