Calculating chi-square in spss

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Reference no: EM131081604

Details:

Statistics play an important role in program evaluation and assessing gathered data, such as conducting non-parametric tests/analyses. An example of non-parametric tests/analyses is chi-square. You will watch the introductory SPSS tutorial and then, as your final review assignment, perform a chi-square analysis.

General Requirements:

Use the following information to ensure successful completion of the assignment:

  • Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.
  • You are not required to submit this assignment to Turnitin.

Directions:

View "Calculating Chi-square in SPSS."

Open SPSS and perform the following:

1  Enter the data from the table below.

2  Obtain an output (as in the tutorials).

3  In the output document highlight the cross-tabulation table.

4  Submit the highlighted output to your instructor.

Drug

Quit

Topiramate

yes

Topiramate

no

Placebo

no

Placebo

no

Topiramate

no

Topiramate

no

Placebo

no

Placebo

no

Topiramate

yes

Topiramate

no

Placebo

no

Topiramate

no

Placebo

no

Topiramate

no

Placebo

no

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This task provides a clear working procedure of chi - square test for independence. it test whether there is an association between drug and quit. if the p - value of the chi - square test statistic falls below 0.05, then we reject the null hypothesis and conclude that there is an association between drug used and the quit status. on the other hand, if the p - value of the chi - square test statistic falls above 0.05, then we fail to reject the null hypothesis and conclude that there is no association between drug used and the quit status.

Reference no: EM131081604

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