Question 1

The mean of a probability distribution is called its expected value.

Accepted Answer

A) True 
 B)False

Question 2

For the following probability distribution:   The mean is _____________.

Accepted Answer

The answer of For the following probability distribution:  ...

Question 3

To construct a binomial distribution, it is necessary to know the total number of trials and the probability of success on each trial.

Accepted Answer

A) True 
 B)False

Question 4

For a trial, the number of possible outcomes for the binomial experiment is _____.

Accepted Answer

The answer of For a trial, the number of possible...

Question 5

In a Poisson distribution, the variance is equal to ___________.

Accepted Answer

A) nπ 
B)    
C) e-x 
D)    
A) nπ 
B)    
C) e-x 
D)

Question 6

Which of the following is correct about a probability distribution?

Accepted Answer

A) The sum of all possible outcomes must equal 1.0. 
B) Outcomes must be mutually exclusive. 
C) The probability of each outcome must be between 0.0 and 1.0 inclusive. 
D) All apply. 
A) The sum of all possible outcomes must equal 1.0. 
B) Outcomes must be mutually exclusive. 
C) The probability of each outcome must be between 0.0 and 1.0 inclusive. 
D) All apply.

Question 7

For any probability distribution, the standard deviation is the ______________.

Accepted Answer

Square roo

Question 8

In a large metropolitan area, past records revealed that 30% of all the high school graduates go to college. From 20 graduates selected at random, what is the probability that exactly 8 will go to college?

Accepted Answer

A) 0.114 
B) 0.887 
C) 0.400 
D) 0.231 
A) 0.114 
B) 0.887 
C) 0.400 
D) 0.231

Question 9

For a binomial distribution, the mean is 4.0 and n = 8. What is π for this distribution?

Accepted Answer

A) 0.5 
B) 1.00 
C) 4.0 
D) 0.1 
A) 0.5 
B) 1.00 
C) 4.0 
D) 0.1

Question 10

A random variable represents the outcome of an experiment.

Accepted Answer

A) True 
 B)False

Question 11

For the following distribution:   What is the mean of the distribution?

Accepted Answer

A) 2.1 
B) 1.5 
C) 0.441 
D) 2 
A) 2.1 
B) 1.5 
C) 0.441 
D) 2

Question 12

A company is studying the number of monthly absences among its 125 employees. The following probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last month.   What is the standard deviation of the number of days absent?

Accepted Answer

A) 1.1616 
B) 0 
C) 1.6595 
D) 1.0778 
A) 1.1616 
B) 0 
C) 1.6595 
D) 1.0778

Question 13

A farmer who grows genetically engineered corn is experiencing trouble with corn borers. A random check of 5,000 ears revealed the following: Many of the ears contained no borers. Some ears had one borer; A few had two borers, and so on. The distribution of the number of borers per ear approximated the Poisson distribution. The farmer counted 3,500 borers in the 5,000 ears. What is the probability that an ear of corn selected at random will contain no borers?

Accepted Answer

A) 0.3476 
B) 0.4966 
C) 1.000 
D) 0.0631 
A) 0.3476 
B) 0.4966 
C) 1.000 
D) 0.0631

Question 14

Which shape describes a Poisson distribution?

Accepted Answer

A) Positively skewed 
B) Negatively skewed 
C) Symmetrical 
D) All apply 
A) Positively skewed 
B) Negatively skewed 
C) Symmetrical 
D) All apply

The mean of a probability distribution is called its expected value.

For the following probability distribution: The mean is _____________.

To construct a binomial distribution, it is necessary to know the total number of trials and the probability of success on each trial.

For a trial, the number of possible outcomes for the binomial experiment is _____.

In a Poisson distribution, the variance is equal to ___________.

Which of the following is correct about a probability distribution?

For any probability distribution, the standard deviation is the ______________.

In a large metropolitan area, past records revealed that 30% of all the high school graduates go to college. From 20 graduates selected at random, what is the probability that exactly 8 will go to college?

For a binomial distribution, the mean is 4.0 and n = 8. What is π for this distribution?

A random variable represents the outcome of an experiment.

For the following distribution: What is the mean of the distribution?

A company is studying the number of monthly absences among its 125 employees. The following probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last month. What is the standard deviation of the number of days absent?

Which shape describes a Poisson distribution?

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Multiple Regression Analysis

Nonparametric Methods: Goodness-Of-Fit Tests

Filters

Exam 6: Discrete Probability Distributions

The mean of a probability distribution is called its expected value.

For the following probability distribution: The mean is _____________.

To construct a binomial distribution, it is necessary to know the total number of trials and the probability of success on each trial.

For a trial, the number of possible outcomes for the binomial experiment is _____.

In a Poisson distribution, the variance is equal to ___________.

Which of the following is correct about a probability distribution?

For any probability distribution, the standard deviation is the ______________.

In a large metropolitan area, past records revealed that 30% of all the high school graduates go to college. From 20 graduates selected at random, what is the probability that exactly 8 will go to college?

For a binomial distribution, the mean is 4.0 and n = 8. What is π for this distribution?

A random variable represents the outcome of an experiment.

For the following distribution: What is the mean of the distribution?

A company is studying the number of monthly absences among its 125 employees. The following probability distribution shows the likelihood that people were absent 0, 1, 2, 3, 4, or 5 days last month. What is the standard deviation of the number of days absent?

Which shape describes a Poisson distribution?

What Is Statistics

Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation

Describing Data: Numerical Measures

Describing Data: Displaying and Exploring Data

A Survey of Probability Concepts

Continuous Probability Distributions

Sampling Methods and the Central Limit Theorem

Estimation and Confidence Intervals

One-Sample Tests of Hypothesis

Two-Sample Tests of Hypothesis

Analysis of Variance

Correlation and Linear Regression

Multiple Regression Analysis

Nonparametric Methods: Goodness-Of-Fit Tests

Filters