for women and 7.12432 cm for men. The sample sizes are n₁ = 142 and n₂ = 159. When using the F test with these data, is it correct to reason that there is no need to check for normality because n₁ >30 and n₂>30? Choose the correct answer below. O A. No. The F test has a requirement that samples be from normally distributed populations, regardless of how large the samples are. B. No. There is no need to check for normality regardless of the sample size. There is no normality requirement for the F test. O C. Yes. The F test has a requirement that samples be from normally distributed populations, but this requirement can be ignored for large samples (n, and n₂ greater than 30). O D. No. There is no need to check for normality as long as n. ≥10 and n ≥ 10.
for women and 7.12432 cm for men. The sample sizes are n₁ = 142 and n₂ = 159. When using the F test with these data, is it correct to reason that there is no need to check for normality because n₁ >30 and n₂>30? Choose the correct answer below. O A. No. The F test has a requirement that samples be from normally distributed populations, regardless of how large the samples are. B. No. There is no need to check for normality regardless of the sample size. There is no normality requirement for the F test. O C. Yes. The F test has a requirement that samples be from normally distributed populations, but this requirement can be ignored for large samples (n, and n₂ greater than 30). O D. No. There is no need to check for normality as long as n. ≥10 and n ≥ 10.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![A sample tested the claim that heights of men and heights of women have difference variances, with s = 7.44592 cm
for women and 7.12432 cm for men. The sample sizes are n₁ = 142 and n₂ = 159. When using the F test with these
data, is it correct to reason that there is no need to check for normality because n₁ > 30 and n₂ > 30?
Choose the correct answer below.
O A. No. The F test has a requirement that samples be from normally distributed populations, regardless of how
large the samples are.
ⒸB. No. There is no need to check for normality regardless of the sample size. There is no normality requirement
for the F test.
O C.
Yes. The F test has a requirement that samples be from normally distributed populations, but this
requirement can be ignored for large samples (n, and no greater than 30).
O D. No. There is no need to check for normality as long as n₁ ≥ 10 and n₂ ≥ 10.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1a61b2c2-d497-421c-be53-2739493073dd%2Ffeb30577-cfb3-4226-bb1c-c5556fd23c79%2Fnhkibic_processed.png&w=3840&q=75)
Transcribed Image Text:A sample tested the claim that heights of men and heights of women have difference variances, with s = 7.44592 cm
for women and 7.12432 cm for men. The sample sizes are n₁ = 142 and n₂ = 159. When using the F test with these
data, is it correct to reason that there is no need to check for normality because n₁ > 30 and n₂ > 30?
Choose the correct answer below.
O A. No. The F test has a requirement that samples be from normally distributed populations, regardless of how
large the samples are.
ⒸB. No. There is no need to check for normality regardless of the sample size. There is no normality requirement
for the F test.
O C.
Yes. The F test has a requirement that samples be from normally distributed populations, but this
requirement can be ignored for large samples (n, and no greater than 30).
O D. No. There is no need to check for normality as long as n₁ ≥ 10 and n₂ ≥ 10.
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