Assignment Instructions

Briefly describe what skewness and kurtosis tell you about these data with regard to normality..

Description

DESCRIPTIVE STATISTICS

Your first IBM SPSS assignment includes two sections in which you will do the following:

Create two histograms.

Calculate measures of central tendency and dispersion.

This will give you some experience with the data set.

Key Details and Instructions

Submit your assignment as a Word document.

Refer to the IBM SPSS Step-by-Step Guide: Histograms and Descriptive Statistics [DOC] and to the Copy/Export Output Instructions [HTML] for additional help in completing this assignment.

As you work on this assignment, you may find the Data Set Instructions [DOC] helpful.

​​​Provide a title for your document and your name.

The grades.sav file is a sample SPSS data set. The data represent a teacher’s recording of student demographics and performance on quizzes and a final exam. This week, you will create and describe two histograms and a descriptives table using these data.

Part 1

Create two histograms for visual interpretation using the following variables:

SPSS Variable Definition

Gender female =1; male =2

Final exam: number of correct answers

Create two histograms and paste them into your Word document:

A histogram for male students.

A histogram for female students.

Briefly describe what a visual inspection of this output tells you about the nature of the curves.

Part 2

Create a descriptives table to assess measures of central tendency and dispersion using the following variables:

SPSS Variable Definition

GPA Previous grade point average

Quiz3 Quiz 3: number of correct answers

Create a descriptives table and paste it into your Word document.

Report the mean, standard deviation, skewness, and kurtosis for GPA and quiz3.

Briefly describe what skewness and kurtosis tell you about these data with regard to normality.

Submit both sections of your assignment as an attached Word document.

 

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Briefly describe what skewness and kurtosis tell you about these data with regard to normality.

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