This guide contains all of the ASC's statistics resources. If you do not see a topic, suggest it through the suggestion box on the Statistics home page.

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- G*Power
- Testing Parametric Assumptions
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- T-TestToggle Dropdown
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- Statistics Group Sessions

- T-test TutorialLearn about the different input parameters needed to determine the minimum sample size for dependent and independent samples t-tests using G*Power. Practice conducting each type of a priori (before data collection) analysis.

The single sample t-test is used to compare the sample mean from one sample to a given population mean. The purpose of this test is to determine if the sample is drawn from (or different from) the given population.

Null: The sample mean is not significantly different from the population mean.

Alternative: The sample mean is significantly different from the population mean.

- Determining if a treatment is effective at reducing symptoms or improving scores based on population parameters (not control group comparison)
- Does CBT increase the proportion of patients that successfully complete therapy?
- Does the Read with Me program improve reading scores?
- Is the new facility able to produce more products than previous ones?

- Determining if there's been a change in some dynamic (i.e. IQ) since the time that the parameter was generated
- Has the average IQ increased since 2000?
- Does the current class perform better on exams than previous students?

See the T-Tests page for more information on this topic.

- Last Updated: May 29, 2024 9:48 AM
- URL: https://resources.nu.edu/statsresources
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