Create specific variables, code the variables correctly given the types of each variable, input data, and run descriptive statistics to demonstrate yo

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Basics of SPSS

Overview

In this short task you are going to log into SPSS,

Create specific variables, code the variables correctly given the types of each variable, input data, and run descriptive statistics to demonstrate your ability to do these basic essentials of data entry, refinement, and analysis.

You will submit your output and the data file to Dropbox.

 

 

Step-by-Step Tasks

Log into the virtual server
Start up the SPSS program
Create a new/blank data sheet
Create the variables listed below and code them appropriately for the following columns in Variable View: (a) Name, (b) Type, (c) Label, (d) Values, and (e) Measure – you can do the others if you would like but they are not required
Input the data on the second page
Run descriptive statistics overall
Run descriptive statistics after splitting the data file by chosen major (Major)
Create a graph that you think is helpful in presenting some relevant descriptive statistics and a short one paragraph (max) narrative explaining the visual and what it represents regarding your data set

 

 

Variables to Include

You will create variables for each of the following types of information:

 

Name – the participant’s name

Gender – the participant’s biological sex

Race – the participant’s race

(Options: American Indian, Asian, Black, Hispanic, White, Other)

High School GPA – the participant’s GPA from their high school transcript

AP Credits – the number of AP credits earned by the participant during high school

Freshman Year GPA – the grade point average of the student during their first full year on campus

Major – the participant’s selected major

(Options: History, English, Computer Science, Biology, Education, Other)

Logic Training – the participant’s experience in taking courses/training in logic offered by the university as part of their first year encouraged opportunities

(Options: Lots, Some, None)

 

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