1. Suppose a 95% confidence interval is computed for resulting in the interval (112.4, 121.6). Then

a) there is a 95% chance that falls within the interval (112.4, 121.6).

 b) 95% of all the possible samples produce intervals that do capture

c)  95% of the time, falls within the interval (112.4, 121.6).

d)   95% of all the possible values of fall within the interval (112.4, 121.6).

2.The area under the standard normal curve between -z_α and z_α is equal to 1 - α 

a) True

b) False

3. Which of the following is not true for the t distribution?

a)  Its shape depends on the number of degrees of freedom

b)  Its mean depends on the number of degrees of freedom

c) It is symmetrical

d) It is bell shaped

4. What is the maximum sample size needed to estimate the proportion of adults in US who vote regularly and want to be 95% sure that the error of our estimate will not exceed 0.06, if we use the 2012 Voter Turnout information about the true proportion is 0.59? (Answer should be rounded up to nearest integer) 

5.  A sample size of 14 is used t find a confidence interval. The number of degrees of freedom needed is __________.

6. The sample standard deviation S may be used in place of σ in the large-sample confidence interval for N provided n is at least _____

7. In determining the necessary sample size for a 95% confidence interval, the value 0.95 must be substituted into the formula z_α/2

a) True

b) False

8. The larger the sample size n, the smaller the maximum error of estimate 

a) True

b) False

9. To obtain a large-sample confidence interval for the population proportion, p, use the

a) t distribution

b) binomial distribution

c) normal distribution

d) chi-square distribution

10.  What is the maximum sample size needed to estimate the proportion of adults in US who vote regularly and want to be 95% sure that the error of our estimate will not exceed 0.06, if we have no information about the true proportion? (Answer should be rounded up to nearest integer)