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Hypothesis Testing for AIU Responses to Job Satisfaction Survey Variables

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Using AIU's survey responses from the AIU data set, complete the following requirements in the form of a report:

1. Perform a two-tailed hypothesis test on both the intrinsic and the extrinsic variable's data, using a .05 significance level.
2. Begin by creating a null and an alternate statement.
3. Use Microsoft Excel to process your data. Copy and paste the results of the output to your report in Microsoft Word.
4. Identify the significance level, the test statistic, and the critical value. State whether you are rejecting or failing to reject the null hypothesis statement.
5. In a separate paragraph, provide some information on when to use a t-test and when to use a z-test and why.
6. Also, provide some information about why samples are used instead of populations.

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NULL HYPOTHESES (HO)
1. There is no significant difference in the intrinsic job satisfaction levels of the workers when grouped as to position.
2. There is no significant difference in the extrinsic job satisfaction levels of the workers when grouped as position.
Two-tailed hypothesis test on both the intrinsic and the extrinsic variables data, at .05 level of significance was the used.

Statistic used: t-test of difference between means
1. To test for difference in the intrinsic satisfaction level of the workers when grouped as to position using t-test of difference between means, the following were the results:
a) Test statistic used is t-test of difference between means
b) α = .05 level of significance
c) t value = 0.006444
d) critical value = ...

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This solution provides a detailed, step by step explanation and calculation of the given hypothesis testing assignment.

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Samples and survey responses

Using AIU's large database of survey responses from the AIU data set, complete the following:

Perform hypothesis testing on one variable's data. (Choose either the intrinsic or extrinsic column.) Perform a t-test by formulating a null and an alternative statement, choosing an acceptable significance value, determining the appropriate critical value, selecting the test statistic and determining its value from the sample data, comparing the observed value to the critical value obtained and determining whether to reject or fail to reject the null hypothesis.

In a separate paragraph, provide some information on when to use a t-test and when to use a z-test and why. Also, provide some information about why samples are used instead of populations.

Be sure to provide references in APA format for any resource you may use.
Objective:
Compute mean, median, mode for a set of data.
Formulate null and alternative hypotheses for applications involving a single population mean, proportion, or variance.
Use effective communication techniques.
Instructor Comments:
Unit 3 IP:
The assignment is a hypothesis test for a single population mean of a quantitative variable equal to a given number (Chapter 8). For example, test the hypothesis that the population mean of the intrinsic is equal to 5 or not. Use all 25 data rows! Since n<30, use a t statistic! For this and any hypothesis test, I want you to number the five steps as in the book. Please provide the following summary table.

Unit 3 IP:
The assignment is a hypothesis test for a single population mean of a quantitative variable equal to a given number (Chapter 8). For example, test the hypothesis that the population mean of the intrinsic is equal to 5 or not. Use all 25 data rows! Since n<30, use a t statistic! For this and any hypothesis test, I want you to number the five steps as in the book. Please provide the following summary table.

Null and Alternative Hypotheses H0:
H1:
Significance Level
Degrees of freedom
Critical Value α=
df=
tcrit=
Test Value t=
Decision

Write this as a coherent integrated report in Word with an introduction, description of methods, results, interpretation of results, and conclusion, with references.

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