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The accompanying table describes the distribution of eye colors reported by male and female statistics students. Is there sufficient evidence to warrant rejection of belief that gender and eye color are independent traits? Use a 0.01 significance level. Click the icon to view the data table. H₁: Males are not more likely to have brown eyes than females. Determine the test statistic. x² = 1 Round to two decimal places as needed.) Determine the P-value of the test statistic. C P-Value = (Round to three decimal places as needed.) Use a 0.01 significance level to test the claim that gender is independent of eye color. OA. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that gender is independent of eye color. B. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color. OC. Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color. D. Reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that gender is independent of eye color.

The accompanying table describes the distribution of eye colors reported by male and female statistics students. Is there sufficient evidence to warrant rejection of belief that gender and eye color are independent traits? Use a 0.01 significance level. Click the icon to view the data table. H₁: Males are not more likely to have brown eyes than females. Determine the test statistic. x² = 1 Round to two decimal places as needed.) Determine the P-value of the test statistic. C P-Value = (Round to three decimal places as needed.) Use a 0.01 significance level to test the claim that gender is independent of eye color. OA. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that gender is independent of eye color. B. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color. OC. Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color. D. Reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that gender is independent of eye color.

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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I need help to solve test statistics and p-value. Please help
The accompanying table describes the distribution of eye colors reported by male and female statistics students. Is there sufficient evidence to warrant rejection of belief that gender and eye color are independent traits? Use a 0.01 significance level. Click the icon to view the data table. H₁: Males are not more likely to have brown eyes than females. Determine the test statistic. Round to two decimal places as needed.) Determine the P-value of the test statistic. P-Value = (Round to three decimal places as needed.). Use a 0.01 significance level to test the claim that gender is independent of eye color. OA. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that gender is independent of eye color. B. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color. C. Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color. OD. Reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that gender is independent of eye color.
Transcribed Image Text:The accompanying table describes the distribution of eye colors reported by male and female statistics students. Is there sufficient evidence to warrant rejection of belief that gender and eye color are independent traits? Use a 0.01 significance level. Click the icon to view the data table. H₁: Males are not more likely to have brown eyes than females. Determine the test statistic. Round to two decimal places as needed.) Determine the P-value of the test statistic. P-Value = (Round to three decimal places as needed.). Use a 0.01 significance level to test the claim that gender is independent of eye color. OA. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that gender is independent of eye color. B. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color. C. Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color. OD. Reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that gender is independent of eye color.
The accompanying table describes the distribution of eye colors reported by male and female statistics students. Is there sufficient evidence to warrant rejection of the belief that gender and eye color are independent traits? Use a 0.01 significance level. Click the icon to view the data table. Gender and Eye Color Data Male Female Determine the test statistic. x² = (Round to two decimal places as needed.) Blue 352 367 Print dedede Brown Green 289 108 346 197 Done Hazel 169 190 - X
Transcribed Image Text:The accompanying table describes the distribution of eye colors reported by male and female statistics students. Is there sufficient evidence to warrant rejection of the belief that gender and eye color are independent traits? Use a 0.01 significance level. Click the icon to view the data table. Gender and Eye Color Data Male Female Determine the test statistic. x² = (Round to two decimal places as needed.) Blue 352 367 Print dedede Brown Green 289 108 346 197 Done Hazel 169 190 - X
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