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Question 1. Question : When the sample size and sample standard devi

Question 1. Question : When the sample size and sample standard devi

Question

1. Question : When the sample size and sample standard deviation remain the same, a 99% confidence interval for a population mean, µ will be _____ the 95% confidence interval for µ.

Student Answer: wider than

narrower than

equal to

2. Question : A sample statistic is an unbiased point estimate of a population parameter if the mean of the population of all possible values of the statistic equals the population parameter.

Student Answer: True

False

3. Question : When the sample size and the sample proportion remain the same, a 90% confidence interval for a population proportion p will be ______ the 99% confidence interval for p.

Student Answer: wider than

narrower than

equal to

4. Question : A manufacturing company measures the weight of boxes before shipping them to the customers. If the box weights have a population mean and standard deviation of 90 lbs and 24 lbs respectively, then, based on a sample size of 36 boxes, the probability that the average weight of the boxes will be less than 84 lbs is

Student Answer: 16.87%.

93.32%.

43.32%.

6.68%.

84.13%.

5. Question : When the population is normally distributed and population standard deviation ? is unknown, then for any sample size n, the sampling distribution of is a t distribution.

Student Answer: True

False

6. Question : The central limit theorem states that as sample size increases, the population distribution more closely approximates a normal distribution.

Student Answer: True

False

7. Question : The results of a scientific poll showed that 64 out of 400 patients at a certain hospital are not satisfied with the care they received in the hospital after major surgery. A consumer advocate claims that 20% of the major surgery patients at the hospital are dissatisfied with after-surgery care. If the advocate’s claim is true, what is the probability that 64 or fewer of 400 randomly selected patients at the hospital would say

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