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### 20 Cards in this Set

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 descriptive stats 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 inferential stats population- group of ind with characteristics. sample- from pop apply treatment and analysis scores w/ infer stat test eg pop- aloll kids w/ adhd IV oranicit variable- sex age, nominal -qualitative cats no or freq in ea category ordinal -order on basis of status or score on variable measured -can't assume equal intervals likert scale interval -property of order and equal adjunct points on scale. IQ scores ratio -property of order, interval and absolute 0. number of correct ans scale of measurements ordinal, nominal, interval, ration 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 null hypo -implies IV not effect DV -ramdon factors or sampling error alternate hypo -iv does effect observed effect is not to sample errot determine if due to sample error or true t-test, anova determine results due to sampling error retain null and reject alt determine results not to sampling error reject null and retain alt power -greater largest of sample size -the greater level of significance or alpha type I error -reject true null hypo -due to sampling error type II error -retain false null hypo alpha 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 inferential stat tests chi sq, t-test, anova -determine scale of measurement chi sq -nominal scale -single sample- 1 variable - multiple sample- 2 > variables substitute word sample for variable