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
9. The sampling distribution of the sample mean is always normally distributed according to the Central Limit
Theorem.
True
False
10. The error term is the di.erence between the observed value of the dependent variable and the predicted
value of the dependent variable.
True
False
11. We do not need to perform the continuity correction if the population is 20 times or more than the sample
size.
True
False
12. For a continuous distribution, Probability of (X greater than or equal to 10) is less than the probability of
(X greater 10)
True
False
13. In a regression model the population of potential error terms is assumed to have a t-distribution.
True
False
14. The least squares simple linear regression line minimizes the sum squares of the vertical deviations
between the line and the data points.
(Points : 8)
True
False
15. In testing the di.erence between two means from two independent populations, the sample sizes do not
have to be equal to be able to use the Z statistic.
True
False
16. To investigate the rate at which employees with cancer are ‘red or laid o., a telephone survey was taken
of 100 cancer survivors who worked while undergoing treatment. Seven (7) were either ‘red or laid o. due to
their illness. Construct a 90% con’dence interval for the true percentage of all cancer patients who are ‘red
or laid o. due to their illness.
[0.0000 0.2034]
[0.0371 0.1029]
[0.0039 0.1361]
[0.0078 0.1400]
[0.0278 0.1122]
17. The area under the normal curve between z=2 and z=3 is ________________ the area under the normal
curve between z=1 and z=2.
Greater than
Less than
Equal to
Answers 1, 2, or 3 depending on the value of the Mean
Answers 1, 2, or 3 depending on the value of the Standard Deviation
18. For a given multiple regression model with three independent variables, the value of the adjusted
multiple coeCcient of determination is _________ less than R .
Always
Sometimes