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Question 8 (1 point) Assume we want to run a hypothesis test for the population mean. If we were to find a p-value of 0.0431, what decision should we make at the 0.05 level of significance? Don't reject the null. There is NOT evidence of the alternate. Accept the null. There is evidence of the null. Don't reject the null. There is evidence of the alternate. Reject the null. There is evidence of the alternate. Reject the null. There is NOT evidence of the alternate. Question 9 (1 point) In the ER, nurses found that a random sample of 15 adults had a mean temperature of 98.7F. Temperatures of adults are known to be normally distributed. Should we construct a 90% confidence interval to estimate the mean temperature of all ER patients? Check the assumptions. No, this is not a SRS. Yes, this is a SRS, and the population is normal. Yes, this is a SRS, and n>30. No, although this is a SRS, the sample size is too small. Question 10 (1 point) Suppose heights of Canadian males follow a normal distribution with a mean of 69.5 inches and a standard deviation of 2.85 inches. What is the probability that a random sample of 24 Canadian males would have a sample mean height less than 69 inches? Round to 4 decimal places. Your Answer: Answer

          Question 8 (1 point)
Assume we want to run a hypothesis test for the population mean. If we were to find
a p-value of 0.0431, what decision should we make at the 0.05 level of significance?
Don't reject the null. There is NOT evidence of the alternate.
Accept the null. There is evidence of the null.
Don't reject the null. There is evidence of the alternate.
Reject the null. There is evidence of the alternate.
Reject the null. There is NOT evidence of the alternate.
Question 9 (1 point)
In the ER, nurses found that a random sample of 15 adults had a mean temperature
of 98.7F. Temperatures of adults are known to be normally distributed. Should we
construct a 90% confidence interval to estimate the mean temperature of all ER
patients? Check the assumptions.
No, this is not a SRS.
Yes, this is a SRS, and the population is normal.
Yes, this is a SRS, and n>30.
No, although this is a SRS, the sample size is too small.
Question 10 (1 point)
Suppose heights of Canadian males follow a normal distribution with a mean of 69.5
inches and a standard deviation of 2.85 inches. What is the probability that a random
sample of 24 Canadian males would have a sample mean height less than 69
inches? Round to 4 decimal places.
Your Answer:
Answer

Question 8 (1 point)
Assume we want to run a hypothesis test for the population mean. If we were to find
a p-value of 0.0431, what decision should we make at the 0.05 level of significance?
Don't reject the null. There is NOT evidence of the alternate.
Accept the null. There is evidence of the null.
Don't reject the null. There is evidence of the alternate.
Reject the null. There is evidence of the alternate.
Reject the null. There is NOT evidence of the alternate.
Question 9 (1 point)
In the ER, nurses found that a random sample of 15 adults had a mean temperature
of 98.7F. Temperatures of adults are known to be normally distributed. Should we
construct a 90% confidence interval to estimate the mean temperature of all ER
patients? Check the assumptions.
No, this is not a SRS.
Yes, this is a SRS, and the population is normal.
Yes, this is a SRS, and n>30.
No, although this is a SRS, the sample size is too small.
Question 10 (1 point)
Suppose heights of Canadian males follow a normal distribution with a mean of 69.5
inches and a standard deviation of 2.85 inches. What is the probability that a random
sample of 24 Canadian males would have a sample mean height less than 69
inches? Round to 4 decimal places.
Your Answer:
Answer

Added by Victor W.

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