ams572_notes_6

# ams572_notes_6 - AMS 572 Lecture Notes#6 1...

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AMS 572 Lecture Notes #6 September 28, 2010 <Today’s Topics> 1. Power Calculation (Inference on one population mean) 2. Sample Size Determina tion 3. How to do it in SAS 4. Inference o n one population variance Sample Size Determina tion 1. 1 st scenario, Normal population, is known. = , 1

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2. 1 st scenario, Normal population, is known. 2
(the same result with 1) 3. 1 st scenario, Normal population, is known. = (Assume . Then, . So, we can neglect it.) 3

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Sample size determination in the CI scenario 1 st scenario, Normal population, is known. P.Q. 4
CI for : Sample size determination for a given maximum error E 1 st scenario, Normal population, is known. Compare the above formula to: For a given , -- one can prove this easily. 5

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Do it in SAS For the inference on one population mean, three procedures are most relevant: Proc means; Proc univariate; Proc ttest; We start, however, by studying how to enter the data to SAS from the key board. data one ; input ID \$ weight ; X = weight – 100 ; datalines ; P1 100 P2 93 P3 88 P37 105 ; run ; proc means data=one t prt ; var X ; run ; 6
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ams572_notes_6 - AMS 572 Lecture Notes#6 1...

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