Link at the bottom of the page

Complete the following:

• Classify each of the five variables in Week 3 Dataset [XLS]based on variable types. Select variables so that the level of measurement of your five variables include nominal, ordinal, and interval levels of measurement.

Conduct a descriptive data analysis for each of the five study variables using IBM SPSS. The following data should be produced by the resulting descriptive analysis and reported in your narrative summary of the analysis:

• Measures of Central Tendency:
  • Mean.
  • Mode.
  • Median.
• Measures of Dispersion:
  • Standard error.
  • Standard deviation.
  • Variance.
  • Range.
  • Sum.
• Report the results of your descriptive data analysis (including how you classified the five variables you selected for your analysis) and provide a narrative account of the step-by-step process you followed to conduct the analysis.

Note 1: Dataset 1 is a large dataset with over 100 variables. Use the dataset tab view to scroll from column A to column CH. Use the codebook tab view to scroll down and see the value labels.

Note 2: You could import the entire dataset into SPSS or you could copy out just those five variable columns and put them in a SPSS file.

word-based ranking such as region, race, age, gender, and community from data sheet below:

https://courseroomc.capella.edu/bbcswebdav/institution/EDD/EDD8050/211000/Course_Files/Week_3_Blooming_Park_State_University_Data_Set.xls