For 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. You will use SPSS software and several Capella course files to complete this assessment.
A solid understanding of descriptive statistics is foundational to grasping the concepts presented in inferential statistics. This assessment measures your understanding of key elements of descriptive statistics.
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:
Read Assessment 1 Context [DOC] for important information on the following topics:
Because this is a psychology course, you need to format this assessment according to APA guidelines. Additional resources about APA can be found in the Research Resources in the courseroom navigation menu. Use the resources to guide your work.
The following resources are required to complete the assessment.
The following statistical analysis software is required to complete your assessments in this course:
This assessment has three parts, each of which is described below. Submit all three parts as Word documents.
Note: All the course documents you will need for the assessment are linked in the Resources section.
Read Assessment 1 Context to learn about the concepts used in this assessment.
This assessment uses the grades.sav file, found in the Resources for this assessment.
The fictional data in the grades.sav file represent a teacher’s recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of about 35 students (N = 105).
There are 21 variables in grades.sav. To prepare for this assessment, complete the following:
Your first IBM SSPS assessment includes two sections:
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:
Below the histograms, provide an interpretation based on your visual inspection. Correctly use all of the following terms in your discussion:
Comment on any differences between males and females regarding their total scores. Analyze the strengths and limitations of visually interpreting histograms.
Using the grades.sav file, compute descriptive statistics, including mean, standard deviation, skewness, and kurtosis for the following variables:
Below the Descriptives table, complete the following:
For this part of the assessment, respond to the following questions:
What are the goals of data screening? How can you identify and remedy the following?
This IBM SPSS assessment includes three 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). See the Copy/Export Output Instructions for instructions on how to do this.
Download the z Scores, Type I and Type II Error, Null Hypothesis Testing Answer Template from the Required Resources, and use the template to complete the following sections:
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