Suppose we are testing if the true population proportion is 0.9 against the lower tailed alternative. If a sample of n=20 items were taken and x of them were successes. Then if the level of significance is 0.05, the appropriate rejection region is:
Suppose we are testing if the true population proportion is 0.9 against the lower tailed alternative. If a sample of n=20 items were taken and x of them were successes. Then if the level of significance is 0.05, the appropriate rejection region is:
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![Suppose we are testing if the true population proportion is 0.9 against the lower tailed
alternative. If a sample of n=20 items were taken and x of them were successes. Then if the
level of significance is 0.05, the appropriate rejection region is:
a. x<15
b. x<14
O c. x<10
d. x>15
The p-value for a z-test associated with z=1.42, when testing HO: u=5 against an upper tailed
hypothesis, is:
a. 0.0778
b. 0.9222
c. 0.0808
d. 0.9192](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7e92bcd5-3d5f-4a05-8a78-3ae5cc91ebeb%2F038969a1-d913-4516-baa2-87d729d3abd2%2Fq7bnb8x_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Suppose we are testing if the true population proportion is 0.9 against the lower tailed
alternative. If a sample of n=20 items were taken and x of them were successes. Then if the
level of significance is 0.05, the appropriate rejection region is:
a. x<15
b. x<14
O c. x<10
d. x>15
The p-value for a z-test associated with z=1.42, when testing HO: u=5 against an upper tailed
hypothesis, is:
a. 0.0778
b. 0.9222
c. 0.0808
d. 0.9192
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