Assignment:
Instructions
Calculating and Interpreting Results for a Chi-Square Goodness of Fit Using SPSS
The following activity will present an opportunity to put into practice what you have learned and read about regarding Chi-Square Goodness of Fit. The narratives supplied in these exercises will provide all the information you will need to determine what main effects and interactions are to be analyzed. Please read the following narrative and then use the Excel spreadsheet provided to import the data into SPSS to construct a dataset that SPSS can use to perform the proper calculations.
Problem:
A Graduate Student Research Assistant (RA) wishes to verify the age-old M&M Chi-Square Goodness of Fit problem that was first presented to him many years ago when he first took a statistics course in college. The RA goes out and buys a bag of M&M candy randomly off the shelf at his neighborhood grocery store and brings it back to the lab for analysis. He brings his bag of M&Ms back to the lab and opens the bag to count his M&Ms.
The expected percentages as published by the M&M company are as follows:
The RA then separates his M&Ms and sorts them by color. The obtained percentages for the purchased bag of M&Ms is as follows: (input your actual percentages from your hand calculated worksheet here for documentation):
Part I: Setting up your SPSS data input file:
Download the Excel spreadsheet "Data Input" and import the spreadsheet into SPSS for subsequent analyses
Part I: Import Data into SPSS:
Use the spreadsheet you just downloaded "Data Input" and import the data in this spreadsheet into SPSS for subsequent analyses. Name your SPSS data file "SPSS MandM Chi Square Dataset" with the ".sav" extension. Your SPSS data file should be ready to use for analysis.
Part II: Short Answer Questions:
Create an MSWord document to answer the short answer questions from part II and III of this exercise.
The name of the file will be "SPSS Exercise - Short Answer Questions".
Answer the following based on the narrative and data provided:
1. What are the expected percentage of M&M color distribution for M&Ms in general?
2. What are the actual percentage of M&M color distribution for your purchased M&M bag?
3. Are the expected and actual percentages different? What does this mean?
4. What is your null (H0) and alternative (H1) hypotheses?
Part III: Running the Appropriate Analysis in SPSS:
Using the "SPSS MandM Chi Square Dataset" you created previously in this exercise, and run the Chi Square Goodness of Fit Analysis through SPSS as described in the video provided.
Add the following to your list of short answer questions as information obtained from your SPSS output file.
7. What are your numerical results for your Chi Square analysis? Make sure to report your results in proper APA format.
8. Are your results significant?
9. Briefly state what your results mean (regardless of whether your results were significant or not).
Part IV: Results Write Up:
Write up the results of your data analysis in standard APA format being sure to mention all relevant variables and findings in your write up. Make sure your format adheres to APA format and guidelines.
(If you have questions about what a complete results write up for a Chi Squate looks like, either look up conference and journal articles that use t-tests as their statistical analysis, or contact your instructor for specific guidance.)
Attachment:- Data Input.rar