RES-845 Module 4 SPSS Data Interpretation

RES-845 Module 4 SPSS Data Interpretation

RES-845 Module 4 SPSS Data Interpretation

Details:

A related samples t-test compares the mean values of two related samples. In this assignment, you will review the SPSS output for a related samples t-test and use it to answer questions about the means of the two related samples.

General Requirements:

Use the following information to ensure successful completion of the assignment:

  • Review “SPSS Access Instructions” for information on how to access SPSS for this assignment.
  • Download “SPSS Data Set Legend” for use with this assignment.
  • Download “Module 4 SPSS Output” for use with this assignment.

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Directions:

Review the SPSS output file that reports the results of the related samples t-test to compare the number of U.S. states where each brand was sold in 2008 with the number of U.S. states where those same brands were sold in 2012. For each brand, there is one value for the number of states in 2008 and another value for the number of states in 2012, making this a repeated measure. Answer the following questions based on your observations of the SPSS output file:

  1. What was the mean number of U.S. states in which all of the beer brands were sold in 2008?
  2. What was the mean number of U.S. states in which all of the beer brands were sold in 2012?
  3. Was there a significant difference in the number of states in which these beer brands were sold in 2008 versus 2012? Report the results of the t-test as follows: t(df value) = ___, and p-value.

Please complete the assignment as required and please use the appropriate references , if applicable, and cite in APA 6th edition format. Please see the attached documentation for completion of assignment.

 

UNFORMATTED ATTACHMENT PREVIEW

College of Doctoral Studies RES-845 SPSS Data Set Legend Information has been gathered on 35 brands of wheat beer. Qualitative (categorical) information has been given codes. Information that is in numerical form (e.g., $ amount) does not need to be coded. Here are all the types of information gathered on these beers: 1. Product name (abbreviation of product’s brand name) 2. Product ID code a. Codes: Each brand is given a numerical ID, with 1 being the first one to 35 for the last one 3. Rating assigned to the product by a taste expert for each brand a. Codes: 1 = Very good 2 = Good 3 = Fair 4. Recommended by leading beer connoisseur magazine? a. Codes: 0 = no 1 = yes 5. Country of origin for each brand: a. Codes: 1 = USA 2 = Canada 3 = France 4 = Holland 5 = Mexico 6 = Germany 7 = Japan 6. Availability in the USA for each brand a.