QNT 275 Final Exam Guide (New, 2018)

1. To make tests of hypotheses about more than two population means, we use the:

t distribution

normal distribution

chi-square distribution

analysis of variance distribution

2. You randomly select two households and observe whether or not they own a telephone answering machine. Which of the following is a simple event?

At most one of them owns a telephone answering machine.

At least one of them owns a telephone answering machine.

Neither of the two owns a telephone answering machine.

Exactly one of them owns a telephone answering machine.

3. In a one-way ANOVA, we analyze only one:

population

mean

variable

sample

4. The regression model y = A + Bx + e is:

an exact relationship

a probabilistic model

a nonlinear model

a deterministic model

5. For a goodness-of-fit test, the frequencies obtained from the performance of an experiment are the:

objective frequencies

observed frequencies

subjective frequencies

expected frequencies

6. The mean of a discrete random variable is the mean of its:

frequency distribution

second and third quartiles

percentage distribution

probability distribution

7. A researcher wants to test if the mean annual salary of all lawyers in a city is different than $110,000. The null hypothesis for this example will be that the population mean is:

greater than to $110,000

not equal to $110,000

equal to $110,000

less than to $110,000

 8. Which of the following pairs of events are mutually exclusive?

Female and no

Female and yes

Female and male

No and yes

9. In a hypothesis test, a Type I error occurs when:

a false null hypothesis is not rejected

a true null hypothesis is rejected

a true null hypothesis is not rejected

a false null hypothesis is rejected

10. You toss a coin nine times and observe 3 heads and 6 tails. This event is a:

multiple outcome

simple event

multinomial sample point

compound event

11. The graph of a cumulative frequency distribution is a(n):

stem-and-leaf display

frequency histogram

ogive

line graph

12. What is the critical value of t for the hypothesis test?

2.441

2.449

2.733

2.738

13. An error that occurs because of chance is called: 

mean error

probability error

sampling error

nonsampling error

14. A researcher wants to test if elementary school children spend less than 30 minutes per day on homework. The alternative hypothesis for this example will be that the population mean is:

equal to 30 minutes

not equal to 30 minutes

less than or equal to 30 minutes

less than 30 minutes

15. A quantitative variable is the only type of variable that can:

have no intermediate values

be used to prepare tables

assume numeric values for which arithmetic operations make sense

be graphed

16. The p-value is the:

largest significance level at which the alternative hypothesis can be rejected

smallest significance level at which the null hypothesis can be rejected

largest significance level at which the null hypothesis can be rejected

smallest significance level at which the null hypothesis can be rejected

17. If you divide the number of elements in a sample with a specific characteristic by the total number of elements in the sample, the dividend is the:

sampling distribution

sample distribution

sample mean

sample proportion

18. A linear regression:

gives a relationship between two variables that can be described by a line

gives a relationship between two variables that cannot be described by a line

gives a relationship between three variables that can be described by a line

contains only two variables

19. A continuous random variable x has a right-skewed distribution with a mean of 80 and a standard deviation of 12. The sampling distribution of the sample mean for a sample of 50 elements taken from this population is:

skewed to the left

not normal

approximately normal

skewed to the right

20. Which of the following assumptions is not required to use ANOVA?

All samples are of the same size.

The samples drawn from different populations are random and independent.

The populations from which the samples are drawn are (approximately) normally distributed.

The populations from which the samples are drawn have the same variance.

21. The model y = A + Bx is a:

nonlinear model

stochastic model

probabilistic model

deterministic model

22. In a hypothesis test, a Type II error occurs when:

a false null hypothesis is rejected

a true null hypothesis is rejected

a true null hypothesis is not rejected

a false null hypothesis is not rejected

23. Two paired or matched samples would imply that:

data are collected on two variables from the elements of two independent samples

two data values are collected from the same source (elements) for two dependent samples

two data values are collected from the same source (elements) for two independent samples

data are collected on one variable from the elements of two independent samples

24. What is the critical value of z for the hypothesis test?

-2.05

-2.33

-2.17

-1.96

25. A qualitative variable is the only type of variable that:

can assume an uncountable set of values

cannot be measured numerically

cannot be graphed

can assume numerical values

26. The alternative hypothesis is a claim about a:

statistic, where the claim is assumed to be false until it is declared true

parameter, where the claim is assumed to be true until it is declared false

statistic, where the claim is assumed to be true if the null hypothesis is declared false

parameter, where the claim is assumed to be true if the null hypothesis is declared false

27. For small degrees of freedom, the chi-square distribution is:

rectangular

skewed to the left

symmetric

skewed to the right

28. We can use the analysis of variance procedure to test hypotheses about:

the proportion of one population

two or more population proportions

two or more population means

the mean of one population

29. For a one-tailed test, the p-value is:

twice the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis

the area under the curve to the same side of the value of the sample statistic as is specified in the alternative hypothesis

twice the area under the curve between the mean and the observed value of the sample statistic

the area under the curve between the mean and the observed value of the sample statistic

30. The mean of a discrete random variable is its:

second quartile

box-and-whisker measure

upper hinge

expected value