Class Notes for PSYC 301 at College of William & Mary (W&M)

• 34 Results
W&MPSYC 301Pamela HuntFall

PSYC 301 Lecture 12: Two tailed test

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9 Oct 2017
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W&MPSYC 301Pamela HuntFall

PSYC 301 Lecture 8: Probability Examples

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9 Oct 2017
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W&MPSYC 301Pamela HuntFall

PSYC 301 Lecture 5: Variability

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9 Oct 2017
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W&MPSYC 301Pamela HuntFall

PSYC 301 Lecture 4: Measures of Central Tendency

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9 Oct 2017
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W&MPSYC 301Pamela HuntFall

PSYC 301 Lecture 3: Frequency Distributions

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9 Oct 2017
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W&MPSYC 301Matt HilimireFall

PSYC 301 Lecture Notes - Lecture 20: Repeated Measures Design, Junkers J 1, Type I And Type Ii Errors

Patti O'Meara2 Page
28 Jul 2017
0
All other things equal, the mserror in a repeated-measures design is ______ than the corresponding. Mserror in a between-subjects design a) b) c) d) A
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W&MPSYC 301Matt HilimireFall

PSYC 301 Lecture Notes - Lecture 10: Sampling Distribution

Patti O'Meara2 Page
28 Jul 2017
0
If we were to repeat an experiment a large number of times and calculate a statistic such as the mean for each experiment, the distribution of these st
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W&MPSYC 301Matt HilimireFall

PSYC 301 Lecture 2: 9-07

Patti O'Meara3 Page
28 Jul 2017
0
Mean: general formula p(x) is the probability of x. Middle value in a set of numbers that have been sorted from lowest to highest magnitude. The mode i
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W&MPSYC 301Matt HilimireFall

PSYC 301 Lecture 3: 9-14

Patti O'Meara2 Page
28 Jul 2017
0
Let"s suppose the average height of psychology professor at w&m is 66 inches. Let"s suppose the standard deviation is 3 inches. Both mean and standard
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W&MPSYC 301Matt HilimireFall

PSYC 301 Lecture 5: 9-26

Patti O'Meara3 Page
28 Jul 2017
0
There are two primary points to remember about the effects of increasing sample size (n) on the sampling distribution of the mean. Regardless of the sh
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W&MPSYC 301Matt HilimireFall

PSYC 301 Lecture Notes - Lecture 6: Unimodality, Repeated Measures Design, Null Hypothesis

Patti O'Meara1 Page
28 Jul 2017
0
Have hypothesized mean value but not population variance. As n gets large, t-distribution approaches normal distribution. When n = infinity, the t-dist
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W&MPSYC 301Matt HilimireFall

PSYC 301 Lecture 1: 8-31

Patti O'Meara2 Page
28 Jul 2017
0
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