Click the icon to view the data table. termine the null and alternative hypotheses. Choose the correct answer below. A. Ho: Males are more likely to have brown eyes than females. H₁: Males are not more likely to have brown eyes than females. OB. Ho: Gender and eye color are not independent traits H₁: Gender and eye color are independent traits. OC. Ho: Males are not more likely to have brown eyes than females. H₁ Males are more likely to have brown eyes than females. by male and female statistics students. Is there sufficient evidence to warrant rejection of the belief that gender and eye color are independent traits? Us- OD. Ho Gender and eye color are independent traits. H₁: Gender and eye color are not independent traits. Determine the test statistic. x²= (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 ETTB Gender and Eye Color Data Male Female Blue 343 377 Print 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 Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color OR Brown Green Hazel 295 103 170 342 193 197 Done D - X

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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This question: 4 point(s) possible
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.
Determine the null and alternative hypotheses. Choose the correct answer below.
OA. Ho: Males are more likely to have brown eyes than females.
H₁: Males are not more likely to have brown eyes than females.
OB. Ho: Gender and eye color are not independent traits.
H₁: Gender and eye color are independent traits.
OC. Ho: Males are not more likely to have brown eyes than females.
H₁ Males are more likely to have brown eyes than females.
OD. Ho Gender and eye color are independent traits.
H₁: Gender and eye color are not independent traits.
=
CETTE
Gender and Eye Color Data
Male
Female
Determine the test statistic.
x² = (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.
OB. Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color
OC. 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.
Blue Brown Green
343
295
103
377
342
193
Print
Done
Hazel
170
197
D
- X
O
Transcribed Image Text:This question: 4 point(s) possible 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. Determine the null and alternative hypotheses. Choose the correct answer below. OA. Ho: Males are more likely to have brown eyes than females. H₁: Males are not more likely to have brown eyes than females. OB. Ho: Gender and eye color are not independent traits. H₁: Gender and eye color are independent traits. OC. Ho: Males are not more likely to have brown eyes than females. H₁ Males are more likely to have brown eyes than females. OD. Ho Gender and eye color are independent traits. H₁: Gender and eye color are not independent traits. = CETTE Gender and Eye Color Data Male Female Determine the test statistic. x² = (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. OB. Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that gender is independent of eye color OC. 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. Blue Brown Green 343 295 103 377 342 193 Print Done Hazel 170 197 D - X O
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