Lecture 12 and 13.docx - Lecture 12 and 13 t test for two...

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Lecture 12 and 13- t test for two independent studies Independent-measures design introduction; 2 main strategies used to form groups - Data from 2 completely different independent participant groups (independent measures or between subjects design) - Data from the same or related participant groups ( a within subjects or repeated measures design) Hypothesis for independent measures design: T statistic for independent measures design: Sampling distribution of the difference between 2 means Numerator: difference between the observed data and the data that was expected from the null hypothesis Denominator: amount of error between the observed data and the expected data due to random chance
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Calculating the pooled variance: More accurate estimate of pop. Variance for both pop. (Variance for both pop. Is assumed to be equal) Weighted mean is generated as a combined estimate of the mean from two samples Most likely to produce a significant value for independent measures t statistic: large mean
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  • Spring '16
  • independent measures, independent measures design

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