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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