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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