Chi-Square Testing and ANOVA
This assignment is due by Sunday, 11:59 pm EST.
Downloadable files for completing the assignment.
crop_data.csv Download crop_data.csv
baseball.csv Download baseball.csv
Assignment PDF
Actions
for download
Pre- Assignment Lab
Before you begin your assignment, view the associated Lab video.
Lab: CHI-Square & ANOVA Video Transcript
Actions
Overview and Rationale
In this assignment, you will use your knowledge of chi-square and ANOVA testing to solve various types of problems.
Module Outcomes
This assignment links directly to the following learning outcomes from this course syllabus:
Use “R” effectively to process, analyze and depict data
Develop more advanced models to interpret data
Prepare complex dataset for analysis
Assignment Summary
Complete the following problems using R and/or MS Excel. Be sure to show your work and include the hypothesis tests, the critical values, the computed test values, and the resulting decisions where applicable.
Use R to complete the following steps. Be sure to include all code in an appendix at the end of your submission. Assume the expected frequencies are equal and α = 0.05.
Download the file ‘baseball.csv’ from the course resources and import the file into R.
Perform EDA on the imported data set. Write a paragraph or two to describe the data set using descriptive statistics and plots. Are there any trends or anything of interest to discuss?
Assuming the expected frequencies are equal, perform a Chi-Square Goodness-of-Fit test to determine if there is a difference in the number of wins by decade.
Be sure to include the following:
State the hypotheses and identify the claim.
Find the critical value (α = 0.05) (From table in the book).
Compute the test value.
Make the decision. Clearly state if the null hypothesis should or should not be rejected and why.
The post Chi-Square Testing and ANOVA
This assignment is due by Sunday, 11:59 pm EST.
Dow appeared first on Skilled Papers.