Question 1

Which of these statements is a property of the probability distribution for a discrete random variable x ?

Accepted Answer

A)  The probabilities must be nonnegative. 
B)  The probabilities must sum to 1. 
C)  The random variable must take on positive values between 0 and 1. 
D)  Both (a) and (b) are true. 
A)  The probabilities must be nonnegative. 
B)  The probabilities must sum to 1. 
C)  The random variable must take on positive values between 0 and 1. 
D)  Both (a) and (b) are true.

Question 2

Suppose you are told that an experiment consists of three stages and that there are three ways to accomplish the first stage, four ways to accomplish the second stage, and five to accomplish the third stage. What would be the number of ways to accomplish the experiment?

Accepted Answer

A)  12 
B)  15 
C)  20 
D)  60 
A)  12 
B)  15 
C)  20 
D)  60

Question 3

Probability is the tool that allows the statistician to use sample information to make inferences about or describe the population from which the sample was drawn.

Accepted Answer

A) True 
 B)False

Question 4

The graph of a discrete random variable looks like a histogram in which the probability of each possible outcome is represented by a bar.

Accepted Answer

A) True 
 B)False

Question 5

If P(A) = 0.42 and P(B) = 0.38, then what is P(A   B)?

Accepted Answer

A)  0.80 
B)  0.58 
C)  0.04 
D)  cannot be determined from the information given 
A)  0.80 
B)  0.58 
C)  0.04 
D)  cannot be determined from the information given

Question 6

What is the set of all simple events of an experiment called?

Accepted Answer

A)  a compound event 
B)  a sample space 
C)  a population 
D)  a random sample 
A)  a compound event 
B)  a sample space 
C)  a population 
D)  a random sample

Question 7

The complement of an event A, denoted by   , consists of all the simple events in the sample space S that are not in A.

Accepted Answer

A) True 
 B)False

Which of these statements is a property of the probability distribution for a discrete random variable x ?

Suppose you are told that an experiment consists of three stages and that there are three ways to accomplish the first stage, four ways to accomplish the second stage, and five to accomplish the third stage. What would be the number of ways to accomplish the experiment?

Probability is the tool that allows the statistician to use sample information to make inferences about or describe the population from which the sample was drawn.

The graph of a discrete random variable looks like a histogram in which the probability of each possible outcome is represented by a bar.

If P(A) = 0.42 and P(B) = 0.38, then what is P(A B)?

What is the set of all simple events of an experiment called?

The complement of an event A, denoted by , consists of all the simple events in the sample space S that are not in A.

Describing Data With Graphs

Describing Data With Numerical Measures

Describing Bivariate Data

B: probability and Probability Distributions

Several Useful Discrete Distributions

The Normal Probability Distribution

Sampling Distributions

Large-Sample Estimation

A: large-Sample Tests of Hypotheses

B: large-Sample Tests of Hypotheses

A: Inference From Small Samples

B: Inference From Small Samples

A: The Analysis of Variance

B: The Analysis of Variance

A: linear Regression and Correlation

B: linear Regression and Correlation

Multiple Regression Analysis

Analysis of Categorical Data

A:nonparametric Statistics

B:nonparametric Statistics

Filters

Exam 4: A: probability and Probability Distributions

Which of these statements is a property of the probability distribution for a discrete random variable x ?

Suppose you are told that an experiment consists of three stages and that there are three ways to accomplish the first stage, four ways to accomplish the second stage, and five to accomplish the third stage. What would be the number of ways to accomplish the experiment?

Probability is the tool that allows the statistician to use sample information to make inferences about or describe the population from which the sample was drawn.

The graph of a discrete random variable looks like a histogram in which the probability of each possible outcome is represented by a bar.

If P(A) = 0.42 and P(B) = 0.38, then what is P(A B)?

What is the set of all simple events of an experiment called?

The complement of an event A, denoted by , consists of all the simple events in the sample space S that are not in A.

Describing Data With Graphs

Describing Data With Numerical Measures

Describing Bivariate Data

B: probability and Probability Distributions

Several Useful Discrete Distributions

The Normal Probability Distribution

Sampling Distributions

Large-Sample Estimation

A: large-Sample Tests of Hypotheses

B: large-Sample Tests of Hypotheses

A: Inference From Small Samples

B: Inference From Small Samples

A: The Analysis of Variance

B: The Analysis of Variance

A: linear Regression and Correlation

B: linear Regression and Correlation

Multiple Regression Analysis

Analysis of Categorical Data

A:nonparametric Statistics

B:nonparametric Statistics

Filters