YOU WILL NEED THE IBM SPSS SOFTWARE FOR THIS ASSIGNMENT For your continuous variable:Report the mean, median, and mode.What might be the better measure for central tendency? (i.e., mean, median, or mode) and why?Report the standard deviation.How variable are the data?How would you describe this data?What sort of research question would this variable help answer that might inform social change?Post the following information for your categorical variable:A frequency distribution.An appropriate measure of variation.How variable are the data?How would you describe this data?What sort of research question would this variable help answer that might inform social change?Be sure to support your Main Post and Response Post with reference to the weekâ€™s Learning Resources and other scholarly evidence in APA Style. From there, locate the Skill Builder link in the left navigation pane.Review the Chapter 4 of the Wagner text and the examples in the SPSS software related to central tendency and variability.From the General Social Survey dataset found in this weekâ€™s Learning Resources, use the SPSS software and choose one continuous and one categorical variable Note: this dataset will be different from your Assignment dataset).As you review, consider the implications for positive social change based on the results of your data.By Day 3Post, present, and report a descriptive analysis for your variables, specifically noting the following: THE INSTRUCTOR PREFER TO HAVE THIS ASSIGNMENT A PAPER FORM APA STYLE. You will also explore the implications for positive social change based on the results of the dataTo prepare for this Discussion:Review this weekâ€™s Learning Resources and the Descriptive Statistics media program.For additional support, review the Skill Builder: Visual Displays for Categorical Variables and the Skill Builder: Visual Displays for Continuous Variables, which you can find by navigating back to your Blackboard Course Home Page. For this Discussion, you will examine central tendency and variability based on two separate variables.

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