SPSS USERS ONLY!!!! Due by 12:00 Noon Tomorrow $30

SPSS Week 2: Assumptions of Normality and Homogeneity of Variance

You will now address assumptions of normality and homogeneity of variance necessary to determine the appropriateness of using particular statistical tests. Download the data set SPSSexam.sav from this week’s resources. Review both the Data View and the Variable View to obtain a general understanding of the data.

Using the dataset SPSSexam.sav and the Frequency command (found under the Analyze > Descriptive Statistics tabs), calculate the standard descriptive statistics (mean, median, mode, standard deviation, variance, and range) plus skew and kurtosis, and create histograms with the normal curve superimposed for each of the variables Computer, Exam, Lecture, and Numeracy for the entire dataset. Use the P-P plot command (Analyze > Descriptive Statistics tabs) to generate a P-P plot for the Computer Literacy variable. Consult the Fields text for how to superimpose the normal curve.

Using the dataset SPSSexam.sav, determine whether the scores on Computer Literacy (with University as the Fixed Factor) meet the assumption of homogeneity of variance (use Levene’s test Analyze > General Linear Model > (fill in variable window) > Options (Homogeneity Test).

Using scholarly writing and proper APA format, please complete, and then submit the following:

A table that depicts descriptive data for any one of the variables from the data set.

A figure that depicts a histogram for any one of the variables in the data set.

A narrative that provides a response to the following:

From all of the graphs, plots, and descriptive statistics you have generated, what can you conclude about the variables in this data set in relationship to the assumptions of normality and homogeneity of variance?

An appendix that contains all SPSS output (copied and pasted) for the items above.