QUESTION 1

1. The probability of a run of four straight heads on four consecutive flips of a fair coin is

2. .0625

.0375

.0002

.1250

QUESTION 2

1. The probabilities of occurrence of independent events D, E, and F are .3, .1, and .2,

respectively. The probability of all three occurring is

2. .006

.6

.06

can’t be determined from what is given

QUESTION 3

1. A six-sided die is rolled twice. What is the probability that the first roll will come up 2 and

the second 1?

2. 2/6

2/36

1/36

1/6

QUESTION 4

1. A card is drawn from a well-shuffled deck of 52 playing cards. The probability of drawing

a king is

2. 13/52

4/52

1/52

1/2

QUESTION 5

1. The probability of obtaining a score of 1 correct on a 2-item multiple choice test (4

alternatives per item) by random guessing is

2. 6/16

4/16

3/16

2/16

QUESTION 6

1. Which of the following pairs of events illustrate statistical independence?

2. obtaining a 2 and an even number on two consecutive rolls of a die

obtaining a 3 and an even number on a single roll of a six-sided die

obtaining a 2 and an even number on a single roll of a die

being a woman and being in the military service

QUESTION 7

1. The probability of obtaining a perfect score on a 3-item multiple choice test (4

alternatives per item) by random guessing is

2. .1250

.7500

.0156

.0003

QUESTION 8

1. The number of ways one can obtain 2 heads out of 3 flips of a coin is

2. 2

4

3

1

QUESTION 9

1. The probability of obtaining a score of 1 correct on a 4-item true-false test by random

guessing is

2. 3/16

2/16

4/16

6/16

QUESTION 10

1. The probability of occurrence of any one of several events is the sum of their individual

probabilities when

2. that sum is not less than zero nor greater than one

sampling is random

the events are independent

the events are mutually exclusive

QUESTION 11

1. The probability of an event may be thought of as the proportion of times that event

occurs in

2. a specific trial

an infinite series of trials

any trial

a large sample of trials

QUESTION 12

1. A pile of jelly beans consists of 6 dark green, 4 light green, 6 blue, and 4 red. If one jelly

bean is selected at random, the probability of its being green is

2. .10

.06

.50

.2

QUESTION 13

1. Two events are independent if

2. they are mutually exclusive

one is the complement of the other

the outcome of one is unaffected by the occurrence (or not) of the other

one must occur if the other does not

QUESTION 14

1. A card is drawn from a well-shuffled deck of 52 playing cards. The probability of drawing

the king of hearts is

2. 13/52

4/52

1/13

1/52

QUESTION 15

1. The probability of joint occurrence of several events is the

2. product of the probabilities of the several events when the events are mutually

exclusive

product of the probabilities of the several events when the events are independent

sum of the probabilities of the several events

sum of the probabilities of the several events when the events are independent

QUESTION 16

1. The probabilities of occurrence of events A, B, and C are .2, .3, and .3, respectively. If

any one of the events occurs, the others can’t. What is the probability of either A or C

occurring?

2. .80

can’t be determined from what is given

.50

.06

QUESTION 17

1. The standard error of the mean

2. is a standard deviation

is given in terms of standard units

is the average amount by which sample values are in error

is larger for larger populations

QUESTION 18

1. The mean of the sampling distribution of means

2. (a) increases as sample size increased

(b) changes as the standard deviation of the population of scores is increased

(c) changes form if the population is not normally distributed

(d) is unaffected by any of the above

QUESTION 19

1. The standard deviation of the sampling distribution of means

2. increases as sample size increases

increases as the mean of the population increases

increases as the standard deviation of the population decreases

none of the above is true

QUESTION 20

1. A particular sampling distribution of the mean is based on means of

2. all possible samples of all possible sizes

all possible samples of the same size

n samples of the same size

n samples of all possible sizes

QUESTION 21

1. A sampling distribution is

2. (a) a relative frequency distribution

(b) a probability distribution

(c) both of the above

(d) neither of the above

QUESTION 22

1. The difference between a distribution of sample scores and a sampling distribution is

that the latter

2. (a) has characteristics specified by statistical theory

(b) is a distribution of sample statistics

(c) has a mean and standard deviation which can be known in advance

(d) is characterized by all of the above, while the former is not

QUESTION 23

1. A random sample is defined by

2. (a) the method of selection

(b) how closely it resembles the population

(c) the outcome of selection

(d) all of the above

QUESTION 24

1. A sampling distribution is a distribution of

2. (a) scores obtained from samples

(b) values of a statistic obtained from samples

(c) values of a parameter obtained from samples

(d) any of the above

QUESTION 25

1. The fundamental condition that permits proper statistical inference is

2. knowledge of the values of the parameters of the population

normal distribution of scores

random sampling

having a large sample

QUESTION 26

1. A basic aim of statistical inference is to form a conclusion about a

2. sample

random sample

random population

population

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