Statistical Inference - Experimental Psychology - Lecture Notes, Study notes of Experimental Psychology

Statistical Inference, Inferential Statistics, Hypothesis Testing, Probability Levels, Statistical Tests, One Tailed Test, Two Tailed Test, Directional Test, Non Directional Test, Improper Interpretation and many other learning points are available in this lecture.

Typology: Study notes

2011/2012

Uploaded on 11/21/2012

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Understanding Research Results - Statistical Inference
Inferential Statistics
Mean difference = true difference
Probability levels
Hypothesis testing
Hypothesis Testing
Statement regarding how two variables are related
Null Hypothesis: µ0 = µ 1
Research Hypothesis: µ0 µ 1
Statistical Tests
t-test and F-test
t-test is appropriate when you have 1 IV with 2 levels
Ratio
Numerator: Mean difference
Denominator: Random error
Degrees of Freedom
Divisor used to compute the estimated population variance
- (k – 1)
One-tailed Test
aka Directional Test
Two-tailed Test
aka Non-directional Test
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Understanding Research Results - Statistical Inference Inferential Statistics Mean difference = true difference Probability levels Hypothesis testing Hypothesis Testing Statement regarding how two variables are related Null Hypothesis: μ 0 = μ (^1) Research Hypothesis: μ 0 ≠ μ (^1) Statistical Tests t-test and F-test t-test is appropriate when you have 1 IV with 2 levels Ratio Numerator: Mean difference Denominator: Random error Degrees of Freedom Divisor used to compute the estimated population variance

  • (k – 1) One-tailed Test aka Directional Test Two-tailed Test aka Non-directional Test

F-test An extension of the t-test Used when you have more than 1 IV with 2 groups Relationship between t and F: Ratio of systematic & error variance Type I and Type II Errors Reject the null, but the null is true p value is the probability of making a Type I error Accept the null, but the null is false probability of making a Type II error is related to power Type III and Type IV Errors Type III Error Getting the direction wrong Type IV Error Improper interpretation of an interaction What Does “ p < .05” Mean? Low probability differences were due to random error p = .05 does not mean that 5 times out of 100 you would get a different result. p(H:E) p value tells us “p(E:H)” What is the probability of obtaining a dead person (D) given that this person was hanged(H)? p(D:H) This is what a p value tells us