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20 Cards in this Set
- Front
- Back
- 3rd side (hint)
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descriptive stats
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describe distribution of data
or measurements in order to make the data easier to interpret, graphs, tables, measures of central tendency and measures of variables correlation coeffiencient |
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inferential stats
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population- group of ind with characteristics.
sample- from pop apply treatment and analysis scores w/ infer stat test |
eg pop- aloll kids w/ adhd
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IV
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oranicit variable-
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sex age,
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nominal
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-qualitative cats
no or freq in ea category |
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ordinal
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-order on basis of status or score on variable measured
-can't assume equal intervals |
likert scale
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interval
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-property of order and equal adjunct points on scale.
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IQ scores
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ratio
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-property of order, interval and absolute 0.
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number of correct ans
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scale of measurements
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ordinal, nominal, interval, ration
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central limit theorem
3 predictions |
sampling distribution of the mean
1. will approach a normal shape as the sample size increases 2. has a mean equal to the pop 3. has a sd equal to the pop sd divided by the sq root of the sample sixe |
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null hypo
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-implies IV not effect DV
-ramdon factors or sampling error |
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alternate hypo
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-iv does effect
observed effect is not to sample errot |
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determine if due to sample error or true
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t-test, anova
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determine results due to sampling error
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retain null and reject alt
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determine results not to sampling error
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reject null and retain alt
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power
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-greater largest of sample size
-the greater level of significance or alpha |
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type I error
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-reject true null hypo
-due to sampling error |
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type II error
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-retain false null hypo
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alpha
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prob of making a type I error
.01 1% chance .05 5% chance |
-the largest size of alpha the easy it is to reject the null hypo and if null is true than greater the chance of making type I error
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inferential stat tests
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chi sq, t-test, anova
-determine scale of measurement |
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chi sq
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-nominal scale
-single sample- 1 variable - multiple sample- 2 > variables |
substitute word sample for variable
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