To test Ho: μ = 107 versus H₁: μ#107 a simple random sample of size n = 35 is obtained. Complete parts a through e below. Click here to view the t-Distribution Area in Right Tail. (a) Does the population have to be normally distributed to test this hypothesis? Why? OA. Yes, because the sample is random. B. Yes, because n ≥ 30. C. No, because the test is two-tailed. D. No, because n ≥30. ...D (b) If x= 104.0 and s=5.7, compute the test statistic. The test statistic is to = (Round to two decimal places as needed.)

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To test Ho: μ = 107 versus H₁: μ# 107 a simple random sample of size n = 35 is obtained. Complete parts a through e
below.
Click here to view the t-Distribution Area in Right Tail.
....
(a) Does the population have to be normally distributed to test this hypothesis? Why?
A. Yes, because the sample is random.
B. Yes, because n ≥ 30.
C. No, because the test is two-tailed.
D. No, because n ≥ 30.
(b) If x= 104.0 and s=5.7, compute the test statistic.
The test statistic is to =. (Round to two decimal places as needed.)
Transcribed Image Text:To test Ho: μ = 107 versus H₁: μ# 107 a simple random sample of size n = 35 is obtained. Complete parts a through e below. Click here to view the t-Distribution Area in Right Tail. .... (a) Does the population have to be normally distributed to test this hypothesis? Why? A. Yes, because the sample is random. B. Yes, because n ≥ 30. C. No, because the test is two-tailed. D. No, because n ≥ 30. (b) If x= 104.0 and s=5.7, compute the test statistic. The test statistic is to =. (Round to two decimal places as needed.)
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