Unformatted text preview: variance; sample data are from simple random samples; samples are independent; data are categorized two ways. Balanced Design: All cells have the same number of sample values. Procedure: Use computer or calculator to obtain P-values, then use the P-values to test for 1. Interection effect between the two variables. (Stop here if there appears to be an interaction effect.) 2. Effect from row variable 3. Effect from column variable Standard Error of Estimate: se = N g 1y - y22 Wilcoxon Rank-Sum Test: Uses ranks from two independent samples. Used to test null hypothesis that two independent samples are from populations with same distribution. Requires two independent random samples, each with more than 10 values. Size of Sample 1 n2: Size of Sample 2 R - mR Test statistic: z = sR n11n1 + n2 + 12 where mR = 2 and sR = R: n1: Sum of ranks for Sample 1 C n-2 Prediction Interval for an Individual y: N N y - E 6 y 6 y + E where x0 is given, 1 + A n n1 g x22 - 1 g x22 and ta>2 has df = n - 2. E = ta>2se...
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This note was uploaded on 06/08/2010 for the course MATH 1123 taught by Professor Serpa during the Spring '10 term at Hawaii Pacific.
- Spring '10