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STAT 251-04 Instructor: Vasile A. Suchar Steps in Hypothesis Testing Daniel, W.W. 1999. Biostatistics: a Foundation for Analysis in the Health Sciences. 7 th Ed. John Wiley and Sons. New York, NY. Evaluate data Review assumptions State hypothesis Select test statistics Determine distribution of test statistic State decision rule Calculate test statistics Conclude Ha is true Conclude H0 may be true Make statistical decision Reject H 0 Do not reject H 0
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Detailed Steps in Hypothesis Testing: 1. Evaluate data: Present the problem, the random sample size, mean, standard deviation, what the sample represents, etc. 2. Review assumptions: Rules: One-sample tests of significance: a. Sample size less then 15: use one-sample tests of significance if data are close to normal. If the data are clearly non-normal, or if outliers are present, do not use one-sample t and Z tests. b. Sample size at least 15: the one-sample tests of significance can be used except in the presence of outliers or strong skewness. c.
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This note was uploaded on 04/22/2008 for the course STAT 251 taught by Professor Suchar during the Spring '08 term at Idaho.

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