Final Bual test bank

If we collect data on the number of wins the Dallas Cowboys earned each of the

past 10 years, we have ________ data.

A) cross-sectional

B) time series

C) non-historical

D) survey

Time series

A(n) ________ variable can have values that indicate into which of several

categories of a population it belongs.

A) qualitative

B) quantitative

C) ratio

D) interval

Qualitative

A standard normal distribution has a mean of ________ and a standard deviation

of ________.

A) zero, zero

B) zero, one

C) one, one

D) one, zero

Zero, One

________ says that if the sample size is sufficiently large, then the sample means

are approximately normally distributed.

A) Cluster sampling

B) Sampling error

C) Sampling distribution of the mean

D) The Central Limit Theorem

The Central Limit Theorem

The ________ is the probability distribution of the population of all possible

sample means that could be obtained from all possible samples of the same size.

A) Sample Mean

B) Sampling Distribution of Sample Mean

C) Probability

D) Observations

Sampling Distribution of Sample Mean

The width of a confidence interval will be

A) narrower for 99 percent confidence than for 95 percent confidence.

B) wider for a sample size of 100 than for a sample size of 50.

C) narrower for 90 percent confidence than for 95 percent confidence.

D) wider when the sample standard deviation (s) is small than when s is

narrower for 90 percent confidence than for 95 percent confidence

The value of the test statistic is compared with a(n) ________ in order to decide

whether the null hypothesis can be rejected.

A) α

B) β

C) p-value

D) critical value

Critical value

A recent study conducted by the state government attempts to determine whether the voting public

supports a further increase in cigarette taxes. The opinion poll recently sampled 1,500 voting age

citizens. 1,020 of the sampled citizens were in favor of an increase in cigarette taxes. The state

government would like to decide if there is enough evidence to establish whether the proportion of

citizens supporting an increase in cigarette taxes is significantly greater than .66. Identify the null

hypothesis.

A) p ≠ .66

B) p > .66

C) p ≤ .66

p ≤ .66

In simple regression analysis, the quantity that gives the amount by which Y

(dependent variable) changes for a unit change in X (independent variable) is

called the

A) coefficient of determination.

B) slope of the regression line.

C) y-intercept of the regression line.

D) correlation coefficient.

E) standard error.

Slope of the regression line

The mean square error of a multiple regression model with k independent

variables and n observations is __________.

A) SSE / n

B) SSE / [n + (k + 1)]

C) SSE / [n − (k + 1)]

D) SSE / (k + 1)

SSE / [n − (k + 1)]

________ says that if the sample size is sufficiently large, then the sample

means are approximately normally distributed.

A) Cluster sampling

B) Sampling error

C) Sampling distribution of the mean

D) The Central Limit Theorem

The Central Limit Theorem

________ is rejecting H0 when H0 is true.

A) A Type I error

B) A Type II error

C) The random error

D) The standard deviation error

A Type 1 Error

Which of the following is a quantitative variable?

A) the manufacturer of a cell phone

B) a person's gender

C) mileage of a car

D) whether a person is a college graduate

E) whether a person has a charge account

Mileage of a car

The grade a student received on an examination was transformed to a z value,

which was negative. Therefore, we know that he scored

A) higher than 16 percent of the class.

B) higher than 45 percent of the class.

C) above the first quartile.

D) below the mean.

E) lower than 16 percent of the class.

Below the mean

In multiple regression analysis, the mean square regression divided by mean

square error yields the _________.

A) standard error

B) F statistic (F=MSR/MSE)

C) R2

D) adjusted R2 or R−2

E) t statistic

F statistic (F=MSR/MSE)

In multiple regression analysis, the explained sum of squares divided by the total

sum of squares yields the __________.

A) standard error

B) F statistic

C) R2 (SSR/SST)

D) adjusted R2 or R−2

E) t statistic

R2 (SSR/SST)

An investigator hired by a client suing for sex discrimination has developed a multiple

regression model for employee salaries for the company in question. In this multiple

regression model, the salaries are in thousands of dollars. For example, a data entry of

35 for the dependent variable indicates a salary of $35,000. The indicator (dummy)

variable for gender is coded as X1 = 0 if male and X1 = 1 if female. The computer

output of this multiple regression model shows that the coefficient for this variable

(X1) is −4.2. The t test showed that X1 was significant at α = .1. This result implies that

for male and female workers of the company,

A) on average, females earn $4,200 less than males.

B) on average, males earn $4,200 less than females.

C) on average, salaries do not differ between males and females.

D) on average, males have 4.2 more years of experience than females.

E) on average, females have 4.2 more years of experience than males.

on average, females earn $4,200 less than males.

Which of the following is a categorical variable?

A) air temperature

B) bank account balance

C) daily sales in a store

D) whether a person has a traffic violation

E) value of company stock

whether a person has a traffic violation

A study is being conducted on the effect of gas price on the number of miles

driven in a given month. Residents in two cities, one on the East Coast and one

on the West Coast, are randomly selected and asked to complete a questionnaire

on the type of car they drive, the number of miles they live from work, the

number of children under 18 in their household, their monthly income, and the

number of miles they have driven over the past 30 days. List the response

variable(s).

A) number of miles driven over the past 30 days.

B) number of children under 18 in their household

C) the type of car they drive

D) the number of miles they live from work

number of miles driven over the past 30 days.

There is little difference between the values of tα/2 and zα/2 when

A) the sample size is small.

B) the sample size is large. (When the sample size is large, the t

distribution approaches the z distribution.)

C) the sample mean is small.

D) the sample mean is large.

E) the sample standard deviation is small.

the sample size is large. (When the sample size is large, the t

distribution approaches the z distribution.)

The following results were obtained as part of a simple regression analysis.

r2 = .9162

F statistic from the F table = 3.59

Calculated value of F from the ANOVA table = 81.87

α = .05

p-value = .000

The null hypothesis of no linear relationship between the dependent variable and the independent variable

A) is rejected.

B) cannot be tested with the given information.

C) is not rejected.

D) is not an appropriate null hypothesis for this situation.

is rejected.

A multiple regression analysis with 20 observations on each of three independent

and dependent variables would yield ______ and _______ degrees of freedom,

respectively, for regression (explained) and error.

A) 3, 17

B) 3, 16

C) 4, 16

D) 3, 19

E) 3, 20

3, 16

A soccer player takes a shot on goal 15 times and scores a goal 3 of those

attempts. What are the odds of the soccer player scoring a goal?

A) 3/15

B) 5

C) 4

D) 3/12

3/12

In a given week, the NYSE (New York Stock Exchange) is generally open from

Monday through Friday. If we wanted to use the multiple regression method with

dummy variables to study the impact of the day of the week on stock market

performance, we would need ________ dummy variables.

A) 5

B) 52

C) 4

D) 3

E) 365

4

Assuming the same level of significance α, as the sample size increases, the value

of tα/2 ________ approaches the value of zα/2.

A) always

B) sometimes

C) never

Always

In a simple linear regression model, the intercept term is the mean value of y

when x equals ________.

A) 1

B) 0

C) −1

D) y

0

If we are testing the significance of the independent variable X1 and we reject the

null hypothesis H0: β1 = 0, we conclude that

A) X1 is significantly related to y.

B) X1 is not significantly related to y.

C) X1 is an unimportant independent variable.

D) β1 is significantly related to the dependent variable y

X1 is significantly related to y.

Logistic regression is used when you want to

A) predict a categorical variable from continuous or categorical

variables.

B) predict a continuous variable from categorical variables.

C) predict any categorical variable from other categorical variables.

D) predict a continuous variable from a categorical variable.

predict a categorical variable from continuous or categorical

variables.

The ________ regression method is used when the

response variable is a qualitative or a categorical

variable.

A) quadratic

B) logistic

C) multiple

D) simple

Logistic

Which of the following is not a component of time

series?

a) trend

b) seasonal

c) cyclical

d) irregular

e) smoothing constant

Smoothing Constant

The correlation coefficient may assume any value between

___________.

A) 0 and 1.

B) −∞ and ∞.

C) 0 and 8.

D) −1 and 1.

E) −1 and 0.

−1 and 1