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PSYC202 Notes from Textbook & Lectures 2017

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Includes notes from the Field textbook & lectures, as per learning outcomes for the entire trimester (except week 1). Not all-inclusive, but pretty detailed.

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31 Pages Complete Study Notes 1-2 Years old
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Topics this document covers:
Statistical hypothesis testing Statistical tests Statistics Nonparametric statistics Parametric statistics Analysis of variance Student's t-test Mann–Whitney U test Test statistic Wilcoxon signed-rank test Pearson correlation coefficient Effect size
This is a Complete Set of Study Notes

Complete Study Notes typically cover at least half a semester’s content or several topics in greater depth. They are typically greater than 20 pages in length and go into more detail when covering topics.

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Topics this document covers:
Statistical hypothesis testing Statistical tests Statistics Nonparametric statistics Parametric statistics Analysis of variance Student's t-test Mann–Whitney U test Test statistic Wilcoxon signed-rank test Pearson correlation coefficient Effect size
Sample Text:
Relates to Type I error. Usually set at .05. If p < .05, null hypothesis can be rejected. If p > .05, cannot reject null hypothesis. o effect size ▪ r (effect size estimate) = z (standardised score) / SqR. N (size of study/number of total observations ▪ r = z/Sqr. N o statistical power - the ability of a test to find an effect that genuinely exists. To define the power of a test, you need to be sure it controls the Type I error rate. o type I error/error rate (alpha) - the number of times a test will find a significant effect when there is none, usually set at 5%. o type II error/error rate (beta) - the rate that a test will find no significant effect when there is one, usually set at .8 or 80%. Type I error influences Type II error (if your Type I value is too restrictive, you have more chance of encountering a Type II error and th...
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