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The sample space refers to :

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the set of all possible experimental outcomes

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

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15

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When the results of experimentation or historical data are used to assign probability values, the method used to assign probabilities is referred to as the

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relative frequency method

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

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subjective method

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

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tree diagram

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The intersection of two mutually exclusive events

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must always equal 0

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Two events are mutually exclusive

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if they have no sample points in common

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The range of probability is

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zero to one

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The set of all possible outcomes of an experiment is

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the sample size

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Assuming that each of the 52 cards in an ordinary deck has a probability of 1/52 of being drawn, what is the probability of drawing a black ace

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2/52

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If P(A)=0.4, P(B/ A)=0.35, P(AUB)=0.69, then P(B)=

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0.43

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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

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9

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The symbol Cshows the

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intersection of two events

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The union of events A and B is the event containing

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all sample points belonging to A or B or both

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

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0.24

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If A and B are independent events with P (A)= 0.2 and P (B) =0.6, then P(AUB) =

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0.68

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A method of assigning probabilities based on historical data is called the

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relative frequency method

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

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0.55

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If x and y are mutally exclusive events with P(X) =0.295, P (Y)=0.32, then P(X/Y)=

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0.000

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If P(A) =0.48, P(AUB) =0.82, and P(B) =0.54, then P(AnB)=

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0.200

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A numerical description of the outcome of an experiment is called a

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random variable

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The binomial probability distribution is used with

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a discrete random variable

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The variance for the binomial probability distribution is

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var(x)=np(l-P)

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Assume that you have a binomial experiment with p=0.4 and a sample size of 50. The variance of this distribution is

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12

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A random variable that may take on any value in an interval or collection of intervals is known as a

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continuous random variable