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23 Cards in this Set

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Descriptive Stats
Describe characteristics of a sample (experiments)
Inferential Stats
no EXPERIMENTS
use sample characteristics to make inferences about a sample. (like random sampling.
Random Sampling
increases chances of obtaining a representative sample.

more confident about generalizing results.
Research hypothesis
states a general relationship that we expect to find.
Statistical hypothesis
NUMBERS States the possible outcomes of a research study in terms of obtained numerial results.
Null Hypothesis
NO DIFFERENCE between conditions
Alternative Hypothesis
Some difference between conditions
Closely related to research hypothesis
Mutually exclusive
one or another not both
null -chance
Alternative-munipulation
la la
Type I
Alpha, Significance level, P Value
Gulliablilty
Type II
Blindness, Beta
Variablity
No variablity-
Small variability-small difference
High Variablity-big differences
High Variablity worries good researchers.
Scientists are more likely to make a type II then Type I
YES!
Reject
Would see differences in population-conditions are real.
Accept
would not see differences in population.......due to chance alone.
Only reject the null if...
if there is a less then a .05 percent chacne that the results they obtained occurred by chance alone.
Concequences of error type
determine where to set ALPHA.
obtained p values between .06 to .10
Reasearch Hypothesis uses ...
Graphs
Inferential STATS
Indicate probablity of making a type I error.

poor at indicating probablity of type II error
Diviation
68 percent is 1 standard diviation away
96 of pop is two standard deviation away
Tails
Left -type II
right -type I
Power
1-B
3 ways to increase stastical power
Change Alpha to .10
Variablity(best way) reduce variablity among scores
Increase sample size