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Lecture 10

PSYC 2030 Lecture Notes - Lecture 10: Statistical Inference, Statistical Significance, Confidence Interval


Department
Psychology
Course Code
PSYC 2030
Professor
Ronald Sheese
Lecture
10

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April 3rd, 2014
exam
-100 multiple choice items
15 per chapter
15 lecture items
86-100
will present hypothetical research scenarios and ask you questions which require
application of knowledge form chapters and lecture material. E.g., will descrive a study and there
will be questions about the design of the study
will not be asked questions on:
- propensity scores (chapter 8,p. 153-154)
-test-retest, synchronous, cross-lagged correlations (chapter 8, p.158-158)
- z-score transformations (chapter 11, p.209)
- confidence interval estimation (chapter 12, p.229)
LECTURE 10 OUTLINE
- chance factors that are inherent in informing your samples will always affect your
results
-techniques allow us to determine true differences in your samples
1. The logic of inferential statistics
Comparison of 2 Methods of Math Training
Group 1 Group 2
(Novel) (Traditional)
Mean = 80 75
2. Four factors which can produce significant differences between groups.
4 Common Factors Can Produce a Significant
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