# Hypothesis Testing Hypothesis Testing The

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```					Hypothesis Testing

The logic of hypothesis testing
An example: The normal deviate test
Another example: The Sign Test
Inferential Statistics
 Hypothesis testing and parameter
estimation
 Marijuana and reaction time
 Grape Kool-Aid and IQ
 The repeated measures designs
 Order and sequencing issues: Randomize
Stated as steps:
   1.    State the hypotheses
   2.   Set the criteria for belief
   3.    Collect and analyze the data
   4.    Make a decision
Hypotheses and decisions
 The null hypothesis
 The alternative hypothesis
 Decision criteria
 If the probability of an experiment’s
outcome occurring by chance is less than
a, reject the null hypothesis.
Technical issues
 Type I error: Rejecting a true null
hypothesis
 Type II error: Retaining a false null
hypothesis
 Controlling errors: Alpha and N
 Tailedness: One and two tailed tests
The normal deviate test
 Z for samples
Z=M–m
sM
Effect size
 Cohen’s d = difference between
means
standard deviation

Or d = M – m
s
Using the binomial distribution to
make decisions: The sign test
 Convert repeated measures
comparisons to pluses and minuses