a. 10

b. 16

c. 34

d. 68

e. none of the above

a. The bars must be of equal width.

b. It is symmetric.

c. It must either steadily rise or steadily fall, since it cannot do both.

d. One can use Table A (table of standard normal values) to find relative frequencies.

e. None of the above is correct.

a. Not affect the standard deviation as long as the increases are balanced on each side of the mean

b. not affect the standard deviation

c. Increase the standard deviation

d. reduce the standard deviation

e. none of the above

I. The area under a normal curve is always 1, regardless of the mean and standard deviation.

II. The mean is always equal to the median for any normal distribution.

III. The interquartile range for any normal curve extends from (mean-1 standard deviation) to (mean+1standard deviation)

a. I and II

b. I and III

c. II and III

d. I, II, and III

e. None of the above gives the correct set of true responses

I. Pop1 has twice as many observations within one standard deviation of the mean as Pop2.

II. The density curve for Pop1 is taller than that of Pop2.

III. The density curves are centered around different numbers.

Which of these statements are correct?

a. I only

b. II only

c. III only

d. I and II only

e. None of the above gives the correct set of true responses

a. 1.56m, .05m

b. 1.54m, .05m

c. 1.56m, .03m

d. 1.58m, .05m

e. 1.58m, .07m

Country A: 100, 110, 120, 160, 200

About what percentage of country A women weight between 110 and 200 pounds?

a. 50%

b. 65%

c. 75%

d. 85%

e. 95%

a. 40 years

b. 30 years

c. 25 year

d. less than 30 years

e. Cannot be determined from the information given

4.5

L

5.5

H

8.7

8.9

6.0

H

5.2

Where L indicates that the earthquake had an intensity below 4.0 and an H indicates that the earthquake had an intensity above 9.0. The median earthwuake intensity of the sample is

a. Cannot be computed since all of the values are not known

b. 8.70

c. 5.75

d. 6.00

e. 6.47

a. the precise degree of randomness present in the phenomenon

b. any number as long as it is between 0 and 1

c. Either 0 or 1, depending on whether or not the phenomenon can actually occur or not

d. The proportion of a very long series of repetitions on which the outcome occurs

e. none of the above

a. 0.4, 0.4, 0.2

b. 0.6, 0.6, 0.4

c. 0.3, 0.3, 0.3

d. 0.5, 0.3, -0.2

e. None of the above

a. 0.25

b. 0.5

c. 0.75

d. 1

e. none of the above

a. 0.16

b. 0. 36

c. 0.4

d. 0.6

e. 1.2

a. 0.1248

b. 0.28

c. 0.6352

d. 0.76

e. The answer cannot be determined from the information given.

a. response variables

b. the slope

c. outliers

d. correlations

e. none of the above

a. robust

b. a residual

c. a response

d. influential

e. none of the above

I. Two variables that are strongly associated will have a correlation near 1

II. Regression requires an explanatory-response relationship, while correlation does not.

III. Even though the correlation between two variables may be high, in order to use the LSRL to predict, there needs to be an explanatory-response relationship between x and y.

a. I and II only

b. I and III only

c. II and III only

d. I, II, III

e. None of the above gives the complete set of true responses.

a. X causes Y. Overspending generally leads to extra, unnecessary programs, diverting attention from basic subjects. Inadequate training in these basic subjects generally leads to lower SAT scores.

b. Y causes X. Low SAT scores create concerns about the quality of education. This inevitably leads to additional spending to help solve the problem.

c. changes in X and Y are due to a common response to other variables. If a higher percentage of students take the exam, the average score will be lower. Also, states with larger populations have large urban areas where the cost of living is higher and more money is needed for expenses.

d. the association between X and Y is purely coincidental. it is implausible to believe the observed association could be anything other that accidental.

a. skewed

b. confounded

c. common responses

d. symmetric

a. stratum

b. a multistage sample

c. a mistake. A sample can never be the entire population

d. a census

e. none of the above

a. the constituents

b. the 228 letters received

c. the 193 opposing the legislation

d. Congress

e. None of the above

a. Use no more than 3 or 4 words in any question

b. When possible, avoid the use of human interviewers, relying on computerized dialing instead

c. Use large sample sizes

d. Use smaller sample sizes

e. None of the above.

a. A racial or sexual preference

b. Random placebos have been used

c. certain outcomes are systematically favored.

d. The correlation is greater that 1 or less than -1

e. none of the above.

a. control the effects of lurking variables such as the placebo

b. control the subjects of a study so as to insure all participate equally

c. guarantee that someone other than the investigators, who have a vested interest in the outcome, control how the experiment is conducted

d. achieve a proper and uniform level of randomization

e. none of theabove

is this study an experiment? Why or why not?

a. 95

b. 85.5

c. 90

d. 95.5

e. none of the above

a. 98

b. 2.5

c. -2.5

d. 0

e. none of the above

a. The is a correlation of 0.54 between the position of a football player plays and his weight.

b. The correlation between planting rate and yield of corn was found to be r=0.23.

c. The correlation between the gas milage of a car and its weight is r=0.71 MPG

d. We found a high correlation (r=1.09) between the height and age of children.

e. We found a correlation of r=-.63 between gender and political party preference.

a. 0.3020

b. 0.2634

c. 0.2013

d. 0.5

e. 1

f. none of the above

a. 0.0160

b. 1.265

c. 0.2530

d. 1

e. .2070

a. 0.34565

b. 0.4000

c. 0.5000

d. 0.5248

e. The answer cannot be computed from the information given

a. 16.20

b. 1.62

c. 4.02

d. 16.00

e. The answer cannot e computed from the information given.

I. The expected value of a geometric random variable is determined by the formula p(1-p)^n-1

II. If X is a geometric random variable and the probability of success is .85, then the probability distribution of X will be skewed left, snince 85 is closer to 1 than to 0.

III.. An important difference between binomial and geometric random variables is that there is a fixed number of trials in a binomial setting, and the number of trials varies in a geometric setting.

a. I only

b. II only

c. III only

d. I, II, and III

e. None of the above gives the complete set of true responses

2. success or failure (2 outcomes)

3. independent trials

4. p always stays the same

a. The value of mean will get larger and larger as we observe X

b. As we observe X more and more, this average and the value of mean with get larger and larger.

c. This average will get closer and closer to the mean as we observe X more and more often.

d. as we observe X more and more, this average will get to be a larger and larger multiple of mean.

e. none of the above

a. 0

b. 2

c. 1

d. 0.5

e. The answer cannot be computed from the imformation given

a. 1

b. 0.63

c. 0.5

d. 0.4

e. the answer cannot be computed from the information given

a. 110

b. 140

c. 180

d. 250

e. 195

a. 0.1042

b. 0.1056

c. 9,3944

d. 0.0418

e. The answer cannot be computed from the information given