You will use SPSS software and several course files to complete this assessment.īy successfully completing this assignment, you will demonstrate your proficiency in the following areas: New York, NY: Routledge.įor this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables analyze the goals of data screening and generate z-scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. IBM SPSS statistics 23 step by step: A simple guide and reference(14th ed.). Section 3: Case Studies of Null Hypothesis Testing.Section 2: Case Studies of Type I and Type II Error.
See the Copy/Export Output Instructionsfor instructions on how to do this.ĭownload the z-Scores, Type I and Type II Error, Null Hypothesis Testing Answer Templatefrom the Required Resources, and use the template to complete the following sections:
The format of this assessment should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document). Analyze cases to either reject or not reject a null hypothesis.Analyze cases of Type I and Type II error.Generate z-scores for a variable in grades.sav and report/interpret them.This IBM SPSS assessment includes three sections: PART 3: Z-SCORES, TYPE I AND II ERROR, NULL HYPOTHESIS TESTING What are the goals of data screening? How can you identify and remedy the following? For all meaningful variables, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).įor this part of the assessment, respond to the following questions:.Specify any variables that are unacceptable.Specify any variables that are acceptable but not excellent.For meaningful variables, specify any variables that are in the ideal range for both skewness and kurtosis. Next, indicate which variable(s) are meaningful to interpret.Indicate which variable(s) are meaningless to interpret in terms of mean, standard deviation, skewness, and kurtosis.Using the grades.savfile, compute descriptive statistics, including mean, standard deviation, skewness, and kurtosisfor the following variables:īelow the Descriptives table, complete the following: Section 2: Calculate and Interpret Measures of Central Tendency and Dispersion Analyze the strengths and limitations of visually interpreting histograms. Correctly use all of the following terms in your discussion:Ĭomment on any differences between males and females regarding their total scores. 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.Ĭreate two histograms using the totaland gendervariables in your grades.savdata set:īelow the histograms, provide an interpretation based on your visual inspection. Section 1: Histograms and Visual Interpretation For additional help in completing this assessment, refer to the IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics document, linked in the Required Resources.Citations, if needed, should be included in the text as well as a reference section at the end of the report. Label all tables and graphs in a manner consistent with APA style and formatting guidelines.(See the Copy/Export Output Instructions in the Resources for instructions on how to do this). Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assessment.Include a reference list at the end of the document if necessary. Begin your assessment by creating a properly formatted APA title page.Submit your assessment as an attached Word document.Calculate measures of central tendency and dispersion and provide interpretations.Create two histograms and provide interpretations.Your first IBM SSPS assessment includes two sections: PART 1: HISTOGRAMS AND DESCRIPTIVE STATISTICS