Module 6 SPSS Data Interpretation

Module 6 SPSS Data Interpretation

Module 6 SPSS Data Interpretation

Details:

A correlation determines if there is any statistical relationship between variables. The Pearson product-moment correlation coefficient measures the relationship between two variables. In this assignment, you will review the SPSS output for a correlation and use it to answer questions about the groups. You will also review the SPSS output to determine if a correlation exists between the variables.

ORDER NOW FOR COMPREHENSIVE, PLAGIARISM-FREE PAPERS

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 6 Correlation SPSS Output” for use with this assignment.
  • Access the SPSS data set “Drinks.sav” for use with this assignment.

Directions:

Review the data in the SPSS data set “Drinks.sav” and the SPSS output file, which reports the results of the correlation, to see if there is a correlation between the cost of beer and the number of calories it contains or the cost of beer and the volume of alcohol it contains. Address the following based on your observations of the SPSS output file:

Based on the correlation coefficients (r-values) that were computed and their statistical significance, what conclusions do you draw regarding:

  1. The researcher’s question of correlation between the cost of beer and the number of calories it contains.
  2. The researcher’s question of correlation between the cost of beer and the volume of alcohol it contains.

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

CORRELATIONS /VARIABLES=cost calories alcohol /PRINT=TWOTAIL NOSIG /STATISTICS DESCRIPTIVES /MISSING=PAIRWISE. Correlations Notes Output Created Comments Input 05-DEC-2016 12:38:07 Data Active Dataset File Label Missing Value Handling Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used Syntax Resources Processor Time Elapsed Time D:\MainBackup\Courses\1 -GCU\2RES845\module6\Info\Dri nks.sav DataSet1 SPSS/PC+ 35 User-defined missing values are treated as missing. Statistics for each pair of variables are based on all the cases with valid data for that pair. CORRELATIONS /VARIABLES=cost calories alcohol /PRINT=TWOTAIL NOSIG /STATISTICS DESCRIPTIVES /MISSING=PAIRWISE. 00:00:00.00 00:00:00.00 Descriptive Statistics Cost per 12 Fluid Ounces for brand Calories per 12 Fluid Ounces for brand Alcohol by