# Statistical analysis

Using the large database of survey responses from the data set (attached file), 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.

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The response address the queries posted in 713 words with references.

//Before performing the 'Hypothesis testing', we will write about the variable selected for the statistical analysis. Then, we will perform hypothesis testing on one variable's data and analyze that the hypothesis is accepted or rejected. For assessing the hypothesis, we will apply t-test. It will assist in analyzing the statistical inference for the hypothesis concerned with the selected variable.//

Hypothesis Testing

The survey responses included in the AIU data set provides data concerned with the variables included for analyzing a specific sample. The paper will provide the analysis of the extrinsic job satisfaction (variable) with the assistance of hypothesis testing. For the analysis of the AIU data set, it is necessary to define the hypothesis considering the variable (extrinsic job satisfaction) taken for analysis. Hypothesis testing is an effective statistical tool for analyzing the specified data set (Gosling, 1995). The hypothesis for one variable data is:

Null Hypothesis (H0): Mean value of extrinsic job satisfaction (μ) = 5.0

Alternative Hypothesis (H1): Mean value of ...

#### Solution Summary

The response address the queries posted in 713 words with references.