Question: Q1. A type II error is rejected a true null hypothesis. True or False Q2. First a confidence interval is constructed without using the finite

Q1. A type II error is rejected a true null hypothesis.

True or False

Q2. First a confidence interval is constructed without using the finite population correction factor. Then, for the same identical data, a confidence interval is constructed using the finite population correction factor. The width of the interval with the finite population correction factor is wider than the confidence interval without the finite population correction factor.

True or False

Q3. If p=.9 and n=40, then we can conclude that the sampling distribution of the proportions is approximately a normal distribution.

True or False

Q4. If two events are independent, we can _____________ their probabilities to determine the intersection probability

a. add

b. multiply

c. divide

d. subtract

Q5. When the level of confidence and the sample size remain the same, a confidence interval for a population mean will be ____________, when the sample standard deviation s is smaller than when s is larger.

a. narrower

b. wider

c. the same

d. sometimes wider, sometimes narrower

Q6. If p=0.1 and n=5, then the corresponding binomial distribution is

a. left skewed

b. right skewed

c. bimodal

d. symmetric

Q7. Events that have no sample space outcomes in common and, therefore cannot occur simultaneously are referred to as independent events.

True or False

Q8. In a study of factors affecting soldiers' decisions to reenlist, 64 subjects were measured for an index of satisfaction and the sample mean is 60 and the sample standard deviation is 16. Use the given sample data to construct a 99% confidence interval for the population mean.

a. 56 to 64

b. 56.55 to 63.34

c. 53.20 to 66.80

d. 58 to 62

e. 54.69 to 65.31

Q9. If p=0.55 the binomial distribution is always symmetrical whether n is large or small

True or False

Q10. The population of all sample proportions has a normal distribution if the sample size (n) is sufficiently large. A rule of thumb for ensuring that n is sufficiently large is:

a. np 10 and n(1-p) 10

b. np 10 and n(1-p) 10

c. np 10

d. n(1-p)10

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