u07a1 One Sample t-test

this assignment, you will calculate a One Sample t-test and provide interpretations for it using the terminology you have learned in this course. Specifically, you will be examining if the scores for a variable in our data set are a random sample from a population with a known mean when the variance may be unknown to you. Additionally, you will be examining the normality of the variable's distribution. In preparation for this fifth SPSS assignment, complete the following three activities.

Note: The Copy Object function was not repeated here, but can be accessed in Unit 2.

1. Watch the SPSS Demonstration: Calculating a One Sample t-test. This audio-visual demonstration provides a guided tour of using SPSS to calculate a One Sample t-test and a Shapiro-Wilks W test of normality that is similar to your assignment. The process is the same, but the variables and values used are different from your actual assignment.
2. Review the content in the Kirkpatrick and Feeney text on One Sample t-tests (see Chapter 7 ).
3. Read the SPSS Step-by-Step Instructions: One Sample t-test that are written with the exact process, and the same variables and values, as your assignment.

Your Fifth SPSS Assignment

Calculate a One-Sample t-test for the sample of scores for IQ from our data set and a known population with a mean of 100. Although the standard deviation is typically known for intelligence tests, not all tests have converted performances into standard scores with a mean of 100 and a standard deviation of 15. For example, one popular intelligence test previously converted test performance into a standard score with a mean of 100 and a standard deviation of 16. Let us assume, then, that you were not provided the name of the intelligence test used in this study and subsequently cannot be confident in the standard deviation for the population mean. Therefore, you will use the One Sample t-test.

You will also calculate a Shapiro-Wilks W test of normality for the sample of scores for the IQ variable. This is your first formal assumption test that can be entered under Section II in your report (see the SPSS Data Analysis Report Guidelines ). This result can be supported by other descriptive statistics and visual depictions of the distribution. You will need to consider what other SPSS output will be necessary to support your statement of normality.

Discuss all results and provide an interpretation that includes: correct use of descriptive statistics terminology, analysis of the t-test and W test, conclusions related to the research questions and hypotheses, and any limitations regarding those conclusions. A minimum of 900 words total is required for the report's four sections.

Use the Copy Object procedure to paste your SPSS output into a Word document. Be selective about the output you are pasting into the document. Use only the output that supports your statements of discussion or interpretation.

Price: $16.66

Solution: The downloadable solution consists of 8 pages, 866 words and 6 charts.
Deliverable: Word Document