Question 1

The following is a Poisson probability distribution with µ = 0.1.   The mean of the distribution is _____.

Accepted Answer

A)  1.5 
B)  0.1 
C)  0.25 
D)  1.0 
A)  1.5 
B)  0.1 
C)  0.25 
D)  1.0

Question 2

For the following probability distribution:   The variance is _____________.

Accepted Answer

1.3
Explanation: The variance

Question 3

A company is studying the number of daily debit card purchases. There were 20 purchases and the probability of a debit card purchase is 0.5. Based on the shape of the distribution, approximately 99.7% of the purchases should be between _______ and ________.

Accepted Answer

10 plus or minus 3(2.24) or 3 and 17
Exp

Question 4

When sampling is done without replacement and the outcomes are measured as either a success or failure, the hypergeometric distribution should be applied.

Accepted Answer

A) True 
 B)False

Question 5

The mean of a binomial distribution is the product of n and π.

Accepted Answer

A) True 
 B)False

Question 6

For the following probability distribution:   The standard deviation is _____________.

Accepted Answer

1.414
Explanation: The varianc

Question 7

A binomial probability distribution approaches a greater degree of symmetry as the probability of success remains constant and the number of trials becomes ___________.

Accepted Answer

The answer of A binomial probability distribution approaches a greater...

Question 8

The production department has installed a new spray machine to paint automobile doors. As is common with most spray guns, unsightly blemishes often appear because of improper mixture or other problems. A worker counted the number of blemishes on each door. Most doors had no blemishes; a few had one; a very few had two; and so on. The average number was 0.5 per door. The distribution of blemishes followed the Poisson distribution. Out of 10,000 doors painted, about how many would have no blemishes?

Accepted Answer

A)  About 6,065 
B)  About 3,935 
C)  About 5,000 
D)  About 500 
A)  About 6,065 
B)  About 3,935 
C)  About 5,000 
D)  About 500

Question 9

The following is a binomial probability distribution with n = 3 and π = 0.20.   The mean of the distribution is _______.

Accepted Answer

A)  1.50 
B)  0.60 
C)  0.25 
D)  0.00 
A)  1.50 
B)  0.60 
C)  0.25 
D)  0.00

Question 10

The following is a binomial probability distribution with n = 3 and π = 0.20.   The variance of the distribution is _________.

Accepted Answer

A)  1.5 
B)  3.0 
C)  0.69 
D)  0.48 
A)  1.5 
B)  3.0 
C)  0.69 
D)  0.48

Question 11

In a Poisson distribution, the probability of success may vary from trial to trial.

Accepted Answer

A) True 
 B)False

Question 12

The variance of a binomial distribution is found by nπ(1 - π).

Accepted Answer

A) True 
 B)False

Question 13

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

Accepted Answer

A)  2.1 
B)  0.132 
C)  0.364 
D)  1.000 
A)  2.1 
B)  0.132 
C)  0.364 
D)  1.000

Question 14

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 15

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 variance of the number of days absent?

Accepted Answer

A)  1.1616 
B)  1.41 
C)  5.00 
D)  55.52 
A)  1.1616 
B)  1.41 
C)  5.00 
D)  55.52

Question 16

The mean of a Poisson distribution is calculated using ____.

Accepted Answer

nπ
Explanation: From past data

Question 17

Elly's Hotdog Emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chilidogs with hot peppers. Suppose 15 customers are selected at random. What is the probability that between two and six people inclusive want hot peppers?

Accepted Answer

0.834
Explanation: Applying the binomial

Question 18

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 19

In a Poisson distribution, the mean and variance are ________________.

Accepted Answer

The answer of In a Poisson distribution, the mean and...

Question 20

What is unique to the Poisson distribution?

Accepted Answer

The mean a

The following is a Poisson probability distribution with µ = 0.1. The mean of the distribution is _____.

For the following probability distribution: The variance is _____________.

A company is studying the number of daily debit card purchases. There were 20 purchases and the probability of a debit card purchase is 0.5. Based on the shape of the distribution, approximately 99.7% of the purchases should be between _ and __.

When sampling is done without replacement and the outcomes are measured as either a success or failure, the hypergeometric distribution should be applied.

The mean of a binomial distribution is the product of n and π.

For the following probability distribution: The standard deviation is _____________.

A binomial probability distribution approaches a greater degree of symmetry as the probability of success remains constant and the number of trials becomes ___________.

The following is a binomial probability distribution with n = 3 and π = 0.20. The mean of the distribution is _______.

The following is a binomial probability distribution with n = 3 and π = 0.20. The variance of the distribution is _________.

In a Poisson distribution, the probability of success may vary from trial to trial.

The variance of a binomial distribution is found by nπ(1 - π).

For the following distribution: What is the variance 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?

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 variance of the number of days absent?

The mean of a Poisson distribution is calculated using ____.

Elly's Hotdog Emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chilidogs with hot peppers. Suppose 15 customers are selected at random. What is the probability that between two and six people inclusive want hot peppers?

In a Poisson distribution, the mean and variance are ________________.

What is unique to the 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: Nominal Level Hypothesis Tests

Nonparametric Methods: Analysis of Ordinal Data

Index Numbers

Time Series and Forecasting

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

Exam 6: Discrete Probability Distributions

The following is a Poisson probability distribution with µ = 0.1. The mean of the distribution is _____.

For the following probability distribution: The variance is _____________.

A company is studying the number of daily debit card purchases. There were 20 purchases and the probability of a debit card purchase is 0.5. Based on the shape of the distribution, approximately 99.7% of the purchases should be between _______ and ________.

When sampling is done without replacement and the outcomes are measured as either a success or failure, the hypergeometric distribution should be applied.

The mean of a binomial distribution is the product of n and π.

For the following probability distribution: The standard deviation is _____________.

A binomial probability distribution approaches a greater degree of symmetry as the probability of success remains constant and the number of trials becomes ___________.

The following is a binomial probability distribution with n = 3 and π = 0.20. The mean of the distribution is _______.

The following is a binomial probability distribution with n = 3 and π = 0.20. The variance of the distribution is _________.

In a Poisson distribution, the probability of success may vary from trial to trial.

The variance of a binomial distribution is found by nπ(1 - π).

For the following distribution: What is the variance 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?

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 variance of the number of days absent?

The mean of a Poisson distribution is calculated using ____.

Elly's Hotdog Emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chilidogs with hot peppers. Suppose 15 customers are selected at random. What is the probability that between two and six people inclusive want hot peppers?

In a Poisson distribution, the mean and variance are ________________.

What is unique to the 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: Nominal Level Hypothesis Tests

Nonparametric Methods: Analysis of Ordinal Data

Index Numbers

Time Series and Forecasting

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

A company is studying the number of daily debit card purchases. There were 20 purchases and the probability of a debit card purchase is 0.5. Based on the shape of the distribution, approximately 99.7% of the purchases should be between _ and __.