JustAnswer



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 fit 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 effects of all factors other than the independent variables on y (response variable).

True

False

 

7. When constructing a confidence interval for a sample proportion, the t distribution is always appropriate if the sample size is small.

True

False

 

8. When the level of confidence and sample standard deviation remain the same, a confidence interval for a population mean based on a sample of n=100 will be narrower than a confidence 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 difference 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 difference 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 fired or laid off, a telephone survey was taken of 100 cancer survivors who worked while undergoing treatment. Seven (7) were either fired or laid off due to their illness. Construct a 90% confidence interval for the true percentage of all cancer patients who are fired or laid off 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 coefficient of determination is _________ less than R .

Always

Sometimes

Never

Can be greater or less depending on the standard error

 

 

19. A new company is in the process of evaluating its customer service. The company offers two types of sales: 1. Internet sales; 2. Store sales. The marketing research manager believes that the Internet sales are more than 10% higher than store sales. The null hypothesis would be:

Pinternet-Pstore>.10

Pinternet-Pstore=.10

Pinternet-Pstore ................
................

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