1. An estimator is called consistent if its variance and standard deviations consistently remain the same
regardless of changes in the sample size.
True
False
2. When determining the sample size n, if the value found for n is 79.2, we would choose to sample 79
observations.
True
False
3. The larger the p-value, the more the chance of rejecting the null hypothesis.
True
False
4. A fastener manufacturing company uses a chi-square goodness of ‘t test to determine if a population of all
lengths of ¼ inch bolts it manufactures is distributed according to a normal distribution. If we reject the null
hypothesis, it is reasonable to assume that the population distribution is at least approximately normally
distributed.
True
False
5. The chi-square distribution is a continuous probability distribution that is skewed to the left.
True
False
6. The error term in the regression model describes the e.ects of all factors other than the independent
variables on y (response variable).
True
False
7. When constructing a con’dence interval for a sample proportion, the t distribution is always appropriate if
the sample size is small.
True
False
8. When the level of con’dence and sample standard deviation remain the same, a con’dence interval for a
population mean based on a sample of n=100 will be narrower than a con’dence interval for a population
mean based on a sample of n=50.
True
False