04_twoway - Two-way tables Outline • Quick correcton for one-sample tests of p • Two-way tables for testing the hypothesis of no association

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Unformatted text preview: Two-way tables : Outline • Quick correcton for one-sample tests of p • Two-way tables for testing the hypothesis of no association • The χ 2 distribution T. Parker () 1 / 16 Note: one-sample test for p • Before, I said that the test statistic for testing H : p = p against some alternative was z = ˆ p- p q ˆ p ( 1- ˆ p ) n . • That is not right. We should impose H on the test statistic (assume H is true): z = ˆ p- p q p ( 1- p ) n . • There is no hypothesis imposed on a confidence interval (because it is an interval estimate) so the formula for the confidence interval is ˆ p ± z α/ 2 r ˆ p ( 1- ˆ p ) n T. Parker () 2 / 16 A summary table • Suppose the managers of a department store have data on whether cash or credit cards are used, and how much the purchase was worth. • They call a “small purchase” one that is for under $20. Population n credit? Small purchase 36 27 Large purchase 78 63 Total 114 90 T. Parker () 3 / 16 Step 1: rewrite the table • We rewrite the table so that it is a two-way table. < $20 ≥ $20 Total Credit 27 63 90 Cash 9 15 24 Total 36 78 114 • Added: a row for Cash ( = not credit) and a column of row totals. • It seems like people use credit cards more for large purchases....
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This note was uploaded on 09/26/2011 for the course 06E 071 taught by Professor Stuff during the Spring '11 term at University of Iowa.

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04_twoway - Two-way tables Outline • Quick correcton for one-sample tests of p • Two-way tables for testing the hypothesis of no association

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