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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
  Discard any ties
  Find the probability for the number of
   pluses from the binomial distribution,
   and for the more extreme numbers of
   pluses.

				
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posted:2/15/2012
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