1. If the level of confidence and sample size remain the same, a confidence interval for a population proportion p will be narrower when p(1-p) is larger than when it is smaller.
2. The standard deviation of the sampling distribution of the sample mean is the same as the population standard deviation.
3. If a population is known to be normally distributed, then it follows that the sample standard deviation must equal population standard deviation.
4. The following results were obtained from a simple regression analysis:
R2= .6744 sb(1) = .2934
When X (independent variable) is equal to zero, the estimated value of Y (dependent variable) is equal to:
5. In a two tailed test if the p value is less than the significance level alpha, then:
a. H0 is rejected
b. H0 is not rejected
c. H0 may or may not be rejected depending on the sample size n
d. Additional information is needed and no conclusion can be reached about whether H0 should be rejected
6. The width of a confidence interval will be:
a. Narrower for 99% confidence than for 90% confidence
b. Wider for a sample size of 64 than for a sample size of 36
c. Wider for a 99% confidence than for 95% confidence
d. Narrower for sample size of 25 than for a sample size of 36
e. None of the above
7. The following results were obtained from a simple regression analysis:
R2= .6744 sb(1) = .2934
For each unit change in X (independent variable), the estimated change in Y (dependent variable) is equal to:
8. If we have a sample size of 100 and the estimate of the population proportion is .10, the standard deviation of the sampling distribution of the sample proportion is:
9. 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
b. n(1–p)>= 10
c. np(1-p) ≤ 10
d. n(1–p) ≤10 and np ≤ 10
e. np >= 10 and n(1–p) >= 10
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