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Birth weights of male and female babies (in grams) is given below with interest: testing the claim that girls and boys have the same median birth weight. Use a 0.05 significance level and the Wilcoxon rank-sum test in R to test this claim. Please state the hypothesis, present a screenshot of the R output of your test, and give your conclusion in the context of the problem. Girls 3500 | 800 2400 4200 3100 | 2000 | 2900 3300 2800 2500 4000 3100 3000 3400 105 155 75 26 215 10 5 10.5 10.5 175

Birth weights of male and female babies (in grams) is given below with interest: testing the claim that girls and boys have the same median birth weight. Use a 0.05 significance level and the Wilcoxon rank-sum test in R to test this claim. Please state the hypothesis, present a screenshot of the R output of your test, and give your conclusion in the context of the problem. Girls 3500 | 800 2400 4200 3100 | 2000 | 2900 3300 2800 2500 4000 3100 3000 3400 105 155 75 26 215 10 5 10.5 10.5 175

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Birth weights of male and female babies (in grams) is given below with interest in testing the claim that girls and boys have the same median birth weight. Use a 0.05 significance level and the Wilcoxon rank-sum test in R to test this claim. Please state the hypothesis, present a screenshot of the R output of your test, and give your conclusion in the context of the problem. Girls 3500 | 800 | 2400 4200 3100 2000 2900 | 3300 | 2800 | 2500 | 4000 Rank 19.5 2 5 26 12.5 4 9 15.5 7.5 6 24.5 Boys 3900 2800 Rank 22.5 7.5 3700 21 3100 3000 3400 12.5 10.5 17.5 4000 3400 1600 3500 3900 24.5 17.5 3 3200 3000 19.5 22.5 10.5 14 3300 300 15.5 1
Transcribed Image Text:Birth weights of male and female babies (in grams) is given below with interest in testing the claim that girls and boys have the same median birth weight. Use a 0.05 significance level and the Wilcoxon rank-sum test in R to test this claim. Please state the hypothesis, present a screenshot of the R output of your test, and give your conclusion in the context of the problem. Girls 3500 | 800 | 2400 4200 3100 2000 2900 | 3300 | 2800 | 2500 | 4000 Rank 19.5 2 5 26 12.5 4 9 15.5 7.5 6 24.5 Boys 3900 2800 Rank 22.5 7.5 3700 21 3100 3000 3400 12.5 10.5 17.5 4000 3400 1600 3500 3900 24.5 17.5 3 3200 3000 19.5 22.5 10.5 14 3300 300 15.5 1
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