Week 10 Wed Nov 3b - Posted after class WEEK 10 Wed, Nov 3...

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Posted after class WEEK 10 – Wed, Nov 3 Correct Formulas for Sample-Size Determination The equations that should be solved when using simple random sampling from a population of size N are n N n N z B σ α 1 2 / - - = (*) n p p N n N z B ) 1 ( 1 2 / - - - = (**) with results 1 / / 2 2 2 2 / 2 2 2 2 / - + = B z N B N z n c (6-10c) 1 / ) 1 ( / ) 1 ( 2 2 2 / 2 2 2 / - - + - = B p p z N B N p p z n c (6-11c) where we have chosen to label the correct sample size as n c . There is a better way to state these results : To evaluate (6-10c) or (6-11c), first calculate n b using the book’s (6- 10) or (6-11) and then plug the result into (***). N n n n b b c ) 1 ( 1 - + = . (***) 1
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Example . CI estimation of µ. Suppose the population size is N = 854, σ is unknown, desired margin of error is B = 2, and desired confidence level is 99%. Suppose σ = 10 is used for planning the sample size . We use (6-10c). We find n b = 165.89 and then by (***) we find n c = 139.1. This suggests that the sample size should be n = 140 for a simple random sample selected from the population of size N = 854. Hypothetical Implementation. Take n = 140 and use the t-interval estimate of µ with 139 df once the data are in. Using the book’s Table 3 and the conservative approach to finding the t-multiplier t .005 , we would use the multiplier t .005 = 2.617 (120 df ). With some hypothetical data x = 76.4, s = 10.3, the t-interval estimate for the population mean µ is ) 140 / 3 . 10 ( 1 854 140 854 617 . 2 4 . 76 / 1 005 . -
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This note was uploaded on 12/11/2010 for the course STT 315 taught by Professor Anderson during the Spring '08 term at Michigan State University.

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Week 10 Wed Nov 3b - Posted after class WEEK 10 Wed, Nov 3...

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