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12 You perform a hypothesis test at the .05 level of significance. Your computed p-value turns out to .042. What is your decision about the

12 You perform a hypothesis test at the .05 level of significance. Your computed p-value turns out to .042. What is your decision about the hypothesis?

You would accept Ho if it is a two-tailed test, but reject Ho if a one-tailed test

You would reject Ho

You cant render a decision unless you know the computed test statistic

You would accept Ho

13 University officials say that at least 70% of the voting student population supports a fee increase. If the 95% confidence interval estimating the proportion of students supporting the fee increase is [0.75, 0.85], what conclusion can be drawn?

Seventy percent is not in the interval, so assume it will not be supported.

Since this was not based on the population, no conclusion can be drawn.

The interval estimate is above 70%, so infer that it will be supported.

Seventy percent is not in the interval, so another sample is needed.

14. A hypothesis regarding the weight of newborn infants at a community hospital is that the mean is 6.6 pounds. A sample of seven infants is randomly selected and their weights at birth are recorded as 9.0, 7.3, 6.0, 8.8, 6.8, 8.4, and 6.6 pounds. What is the alternate hypothesis?

H1: > 7.6

H1: 6.6

H1: 6.6

H1: = 6.

15 Each month the National Association of Purchasing Managers publishes the NAPM index. One of the questions asked on the survey to purchasing agents is: Do you think that the economy is expanding? Last month, of the 300 responses, 160 answered yes to the question. This month, 170 of the 290 responses indicated that the economy is expanding. If youre testing to find if a larger proportion of agents believe that the economy is expanding this month, what is your computed test statistic?

t = -1.25

z = -1.29

t = -1.07

z = -1.11

16 A group of 100 students was surveyed about their interest in a new International Studies program. Interest was measured in terms of high, medium, or low. In the study, 30 students responded high interest, 40 students responded medium interest, and 30 students responded low interest. What is the relative frequency of students with high interest?

.30

.40

.50

.030

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