Probability Flashcards

1
Q

Each individual outcome of an experiment is called

A

a sample point

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2
Q

A graphical method of representing the sample points of an experiment is

A

a tree diagram

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3
Q

Any process that generates well-defined outcomes is

A

an experiment

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4
Q

In statistical experiments, each time the experiment is repeated

A

a different outcome may occur

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5
Q

The counting rule that is used for counting the number of experimental outcomes when n objects are selected from a set of N objects where order of selection is not important is called

A

combination

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6
Q

From a group of six people, two individuals are to be selected at random. How many possible selections are there?

A

15

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7
Q

A method of assigning probabilities based upon judgment is referred to as the

A

subjective method

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8
Q

A graphical device used for enumerating sample points in a multiple-step experiment is a

A

not a bar chart, a pie chart nor a histogram

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9
Q

The set of all possible outcomes of an experiment is

A

the sample space

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10
Q

If a dime is tossed four times and comes up tails all four times, the probability of heads on the fifth trial is

A

1/2

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11
Q

Of five letters (A, B, C, D, and E), two letters are to be selected at random. How many possible selections are there?

A

10

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12
Q

Assume your favorite football team has 2 games left to finish the season. The outcome of each game can be win, lose or tie. The number of possible outcomes is

A

9

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13
Q

An experiment consists of tossing 4 coins successively. The number of sample points in this experiment is

A

16

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14
Q

Since the sun must rise tomorrow, then the probability of the sun rising tomorrow is

A

not much larger than zero, zero nor infinity

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15
Q

If a coin is tossed three times, the likelihood of obtaining three heads in a row is

A

0.125

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16
Q

Of the last 100 customers entering a computer shop, 25 have purchased a computer. If the classical method for computing probability is used, the probability that the next customer will purchase a computer is

A

0.50

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17
Q

A six-sided die is tossed 3 times. The probability of observing three ones in a row is

A

1/216

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18
Q

A perfectly balanced coin is tossed 6 times and tails appears on all six tosses. Then, on the seventh trial

A

both heads and tails can appear

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19
Q

A method of assigning probabilities which assumes that the experimental outcomes are equally likely is referred to as the

A

classical method

20
Q

The probability assigned to each experimental outcome must be

A

between zero and one

21
Q

Some of the CDs produced by a manufacturer are defective. From the production line, 5 CDs are selected and inspected. How many sample points exist in this experiment?

A

32

22
Q

Assume your favorite football team has 3 games left to finish the season. The outcome of each game can be win, lose, or tie. How many possible outcomes exist?

A

27

23
Q

From nine cards numbered 1 through 9, two cards are drawn. Consider the selection and classification of the cards as odd or even as an experiment. How many sample points are there for this experiment?

A

4

24
Q

If a six sided die is tossed two times, the probability of obtaining two “4s” in a row is

A

1/36

25
Q

The intersection of two mutually exclusive events

A

must always be equal to 0

26
Q

The range of probability is

A

zero to one

27
Q

Two events, A and B, are mutually exclusive and each have a nonzero probability. If event A is known to occur, the probability of the occurrence of event B is

A

zero

28
Q

The sum of the probabilities of two complementary events is

A

1.0

29
Q

One of the basic requirements of probability is

A

if there are k experimental outcomes, then sumP(Ei) = 1

30
Q

The symbol ‘or’ shows the

A

union of events

31
Q

The union of events A and B is the event containing

A

all the sample points belonging to A or B or both

32
Q

If A and B are mutually exclusive events with P(A) = 0.3 and P(B) = 0.5, then P(A ‘and’ B) =

A

0.00

33
Q

Events A and B are mutually exclusive with P(A) = 0.3 and P(B) = 0.2. Then, P(B to the power of c) =

A

0.8

34
Q

In an experiment, events A and B are mutually exclusive. If P(A) = 0.6, then the probability of B

A

cannot be larger than 0.4

35
Q

If P(A) = 0.62, P(B) = 0.47, and P(A ‘or’ B) = 0.88, then P(A ‘and’ B) =

A

0.2100

36
Q

If P(A) = 0.7, P(B) = 0.6, P(A ‘and’ B) = 0, then events A and B are

A

mutually exclusive

37
Q

Two events with nonzero probabilities

A

can not be both mutually exclusive and independent

38
Q

If A and B are independent events with P(A) = 0.65 and P(A ‘and’ B) = 0.26, then, P(B) =

A

0.400

39
Q

If two events are independent, then

A

they must not be mutually exclusive, the sum of their probabilities must not be equal to one and their intersection must not be zero

40
Q

The multiplication law is potentially helpful when we are interested in computing the probability of

A

the intersection of two events

41
Q

If A and B are independent events with P(A) = 0.4 and P(B) = 0.6, then P(A ‘and’ B) =

A

0.24

42
Q

If A and B are independent events with P(A) = 0.05 and P(B) = 0.65, then P(A | B) =

A

0.05

43
Q

If A and B are independent events with P(A) = 0.4 and P(B) = 0.25, then P(A ‘or’ B) =

A

0.55

44
Q

If A and B are independent events with P(A) = 0.38 and P(B) = 0.55, then P(A | B) =

A

0.38

45
Q

If A and B are independent events with P(A) = 0.35 and P(B) = 0.20, then, P(A ‘or’ B) =

A

0.48