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T-Test Summary

This summary explains the use of T-Tests to determine if there is a significant difference between two mean values, either in independent groups or within a single group. It covers the Null Hypothesis, Independent T-Tests for comparing experimental and control groups, and Dependent T-Tests for comparing pre and post measures.

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T-Test Summary

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  1. T-Test Summary

  2. Null Hypothesis • Any observable difference between two mean values is due to chance • Determine whether there is a significant difference between IV and DV • IV: alleged cause • V: outcome

  3. Independent T-test • Effect of IV on DV • Two independent groups: experimental and control • Experimental group receives IV • Control group does not • Determine whether the means were signficant

  4. Dependent T-test • Determine significance from pre to post measures • One group two treatments

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