For your first IBM SSPS assignment, you will:
Create two histograms and provide interpretations.
Calculate measures of central tendency and dispersion and provide interpretations.
Key Details and Instructions
Submit your assignment as an attached Word document.
Begin your assignment by creating a properly formatted APA title page. Include a reference list at the end of the document if necessary. On page 2, begin section 1.
Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assignment. (See the Copy/Export Output Instructions in the Resources area for how to do this).
Label all tables and graphs in a manner consistent with APA guidelines for style and format. Citations, if needed, should be included in the text as well as a reference section at the end of the report.
For additional help in completing this assignment, refer to the Step-By-Step Guide Histograms and Descriptive Statistics in the Resources area.
Section 1: Histograms and Visual Interpretation
Section 1 will include one histogram of “total” scores for all the males in the data set, and one histogram of “total” scores for all the females in the data set.
Create two histograms using the total and gender variables in your grades.sav data set:
A histogram for male students.
A histogram for female students.
Section 1 will include one histogram of “total” scores for all the males in the data set, and one histogram of “total” scores for all the females in the data set. Below the histograms, provide an interpretation based on your visual inspection. Correctly use all of the following terms in your discussion:
Skew.
Kurtosis.
Outlier.
Symmetry.
Modality.
Comment on any differences between males and females regarding their total scores. Analyze the strengths and limitations of visually interpreting histograms.
Section 2: Calculate and Interpret Measures of Central Tendency and Dispersion
Using the grades.sav file, compute descriptive statistics, including mean, standard deviation, skewness, and kurtosis for the following variables:
id.
gender.
ethnicity.
gps.
quiz3.
total.
Below the Descriptives table:
Not all statistics in the descriptives table are useful. It is not useful to interpret some variables in terms of mean, standard deviation, skewness, and kurtosis. Below the table, indicate the variables for which means, standard deviations, skewness and kurtosis have no meaning.
Next, indicate the variable(s) for which means, standard deviations, skewness, and kurtosis are interpretable. Justify your decision.
For the variables where means and standard deviations can be used, specify any variables that are (1) in the ideal range for both skewness and kurtosis, (2) are acceptable but not excellent, or (3) are unacceptable. Explain your decisions.
For all variables with meaningful means and standard deviations, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).