【辅导案例】 Statistics for Business and Economics I Project

Statistics for Business and Economics I Project

Objective

The goal of this project is to give students an opportunity to apply many of the skills that they have developed throughout the course, while also enabling them to explore a topic of interest.

Submission Requirements

• Due May 1^st, 2020 at 10:00pm
• Completed projects should be sent to [email protected].  Late submissions will not be accepted.
• Projects must include original data files, along with writeups as Word or PDF Files
• Any Excel or R program files must also be included, so that any analyses can be easily reproduced
• Students are encouraged to collaborate with the instructor and their peers throughout the entire process of this assignment, but all of each student’s work must be original.

Dataset Selection

Students should work with the instructor to select a dataset that has the following qualities:

• 2 or more continuous variables
• 2 or more categorical variables
• 500 or more observations

Report Format

Reports should consist of 3 sections – An introduction, a body that includes all statistical analyses and commentary, and a conclusion that summarizes your findings.

Requirements

Choose two categorical Variables and Two Continuous Variables

1. Create a bar graph comparing all levels of one of the chosen categorical variables using one of the chosen continuous variables.  Repeat this process using the other chosen categorical variable.  Repeat this using the other chosen continuous variable.  This should produce 4 bar graphs.  Discuss your results.
2. Create histograms and box & whisker plots for the two chosen continuous variables.
   1. Comment on the modality, skew, and shape of each distribution
   1. Compute the mean, median, mode, Q1, Q3, IQR, maximum value and minimum value for each series.  Comment on the importance of each of these statistics as they relate to your ability to understand the underlying process that this dataset represents.
3. Using the chosen two categorical variables, create two contingency tables.  One should show frequency, and the other should show relative frequency.
   1. Explain why you chose these variables
   1. Comment on the results of the tables and describe any interesting inferences that you have made

• Compute the conditional probability of each distinct combination of categorical values of interest (minimum 4).  i.e.
• Create 95% and 99% confidence intervals using a categorical variable of your choice.  Explain why you chose the variable and interpret your results. (i.e. Estimate the true percentage of cars with electric motors).  When would you choose to report one of these intervals over the other?