3. The p-value for a right tailed test is 0.042. wWhich of the following statements is NOT TRUE? * A. The p-value for a left-tailed test based on the same sample would be -0.042. B. None of the choices C. The p-value for a two-tailed based on the same sample would be 0.084. D. We would reject null hypothesis at 5% level of significance but not at 1% level of significance. E. We would reject null hypothesis at 10% level of significance but not at 4% level of significance.

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3. The p-value for a right tailed test is 0.042. Which of the following statements is NOT TRUE? *
A. The p-value for a left-tailed test based on the same sample would be -0.042.
B. None of the choices
C. The p-value for a two-tailed based on the same sample would be 0.084.
D. We would reject null hypothesis at 5% level of significance but not at 1% level of significance.
E. We would reject null hypothesis at 10% level of significance but not at 4% level of significance.
4. A publishing company is studying the sales of various franchises in their chain of stores. They draw a random
sample of 75 stores in the chain, and measure the average daily sales. They find that sample mean is 5670 and
sample standard deviation is 1750. Calculate a 90% confidence interval for the mean daily sales of their sales. *
A. (5337.6, 6002.4)
B. (2791.3, 8548.8)
C. (5410.9, 5929.1)
D. (3920.0, 7420.0)
E. (5149.5, 6190.5)
5. Which of the following are true statements? *
I. If there is sufficient evidence to reject a null hypothesis at the 10% level, then there is sufficient evidence to reject
it at the 5% level.
II. Whether to use a one- or two-sided test is typicaly decided after the data are gathered.
III. If a hypothesis test is conducted at the 1% level, there is a 1% chance of rejecting the null hypothesis.
A. II only
B. I, II, and III
C. I only
D. None are true
E. Il only
6. Under which of the following circumstances is it IMPOSSIBLE to construct a confidence interval for the
population mean? *
A. A normal population with a small sample size and an unknown population variance.
B. A normal population with a small sample size and a known population variance.
C. A non-normal population with a large sample size and an unknown population variance.
D. A normal population with a large sample size and a known population variance.
E. A non-normal population with a O small sample size and an unknown population variance
Transcribed Image Text:3. The p-value for a right tailed test is 0.042. Which of the following statements is NOT TRUE? * A. The p-value for a left-tailed test based on the same sample would be -0.042. B. None of the choices C. The p-value for a two-tailed based on the same sample would be 0.084. D. We would reject null hypothesis at 5% level of significance but not at 1% level of significance. E. We would reject null hypothesis at 10% level of significance but not at 4% level of significance. 4. A publishing company is studying the sales of various franchises in their chain of stores. They draw a random sample of 75 stores in the chain, and measure the average daily sales. They find that sample mean is 5670 and sample standard deviation is 1750. Calculate a 90% confidence interval for the mean daily sales of their sales. * A. (5337.6, 6002.4) B. (2791.3, 8548.8) C. (5410.9, 5929.1) D. (3920.0, 7420.0) E. (5149.5, 6190.5) 5. Which of the following are true statements? * I. If there is sufficient evidence to reject a null hypothesis at the 10% level, then there is sufficient evidence to reject it at the 5% level. II. Whether to use a one- or two-sided test is typicaly decided after the data are gathered. III. If a hypothesis test is conducted at the 1% level, there is a 1% chance of rejecting the null hypothesis. A. II only B. I, II, and III C. I only D. None are true E. Il only 6. Under which of the following circumstances is it IMPOSSIBLE to construct a confidence interval for the population mean? * A. A normal population with a small sample size and an unknown population variance. B. A normal population with a small sample size and a known population variance. C. A non-normal population with a large sample size and an unknown population variance. D. A normal population with a large sample size and a known population variance. E. A non-normal population with a O small sample size and an unknown population variance
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