Question 1

In a binomial, hypergeometric, and Poisson distribution, the random variable is ______________.

Accepted Answer

The answer of In a binomial, hypergeometric, and Poisson distribution,...

Question 2

In a large metropolitan area, past records revealed that 30 percent 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 3

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.   Given the probability distribution, which of the following predictions is correct?

Accepted Answer

A)  60% of the employees will have more than one day absent for a month. 
B)  There is a 0.04 probability that an employee will be absent 1 day during a month. 
C)  There is a 0.12 probability that an employee will be absent 2 days during a month. 
D)  There is a 0.50 probability that an employee will be absent 0.72 days during a month. 
A)  60% of the employees will have more than one day absent for a month. 
B)  There is a 0.04 probability that an employee will be absent 1 day during a month. 
C)  There is a 0.12 probability that an employee will be absent 2 days during a month. 
D)  There is a 0.50 probability that an employee will be absent 0.72 days during a month.

Question 4

Explain the difference between the application of the binomial and the hypergeometric probability distributions.

Accepted Answer

To apply the binomial distribu

Question 5

For the hypergeometric distribution there are ________________ possible outcomes.

Accepted Answer

The answer of For the hypergeometric distribution there are ________________...

Question 6

If the variance is 3.6 grams, what is the standard deviation?

Accepted Answer

A)  0.6 
B)  1.897 
C)  6.0 
D)  12.96 
A)  0.6 
B)  1.897 
C)  6.0 
D)  12.96

Question 7

Which of the following is correct about a probability distribution?

Accepted Answer

A)  Sum of all possible outcomes must equal 1 
B)  Outcomes must be mutually exclusive 
C)  Probability of each outcome must be between 0 and 1 inclusive 
D)  All of the above 
A)  Sum of all possible outcomes must equal 1 
B)  Outcomes must be mutually exclusive 
C)  Probability of each outcome must be between 0 and 1 inclusive 
D)  All of the above

Question 8

For any probability distribution, the mean is calculated as a weighted mean. The weights are the ______________.

Accepted Answer

The answer of For any probability distribution, the mean is...

Question 9

A statistics professor receives an average of five e-mail messages per day from students. Assume the number of messages approximates a Poisson distribution. What is the probability that on a randomly selected day she will have two messages?

Accepted Answer

A)  0.0067 
B)  0.0014 
C)  0.420 
D)  0.084 
A)  0.0067 
B)  0.0014 
C)  0.420 
D)  0.084

Question 10

Sixty percent of the customers of a fast food chain order a hamburger, french fries and a drink. If a random sample of 15 cash register receipts is selected, what is the probability that 10 or more will show that the above three food items were ordered?

Accepted Answer

A)  1.000 
B)  0.186 
C)  0.403 
D)  0.000 
A)  1.000 
B)  0.186 
C)  0.403 
D)  0.000

Question 11

A random variable represents the outcomes of an experiment.

Accepted Answer

A) True 
 B)False

Question 12

An insurance agent has appointments with four prospective clients tomorrow. From past experience the agent knows that the probability of making a sale on any appointment is 1 out of 5. Using the rules of probability, what is the likelihood that the agent will sell a policy to 3 of the 4 prospective clients?

Accepted Answer

A)  0.250 
B)  0.500 
C)  0.410 
D)  0.026 
A)  0.250 
B)  0.500 
C)  0.410 
D)  0.026

Question 13

What kind of distribution are the binomial and Poisson distributions?

Accepted Answer

A)  Discrete 
B)  Continuous 
C)  Both discrete and continuous 
D)  Neither discrete nor continuous 
A)  Discrete 
B)  Continuous 
C)  Both discrete and continuous 
D)  Neither discrete nor continuous

Question 14

The random variable for a Poisson probability distribution can assume an infinite number of values.

Accepted Answer

A) True 
 B)False

Question 15

On a very hot summer day, 5 percent of the production employees at Midland States Steel are absent from work. The production employees are randomly selected for a special in-depth study on absenteeism. What is the probability of randomly selecting 10 production employees on a hot summer day and finding that none of them are absent?

Accepted Answer

A)  0.002 
B)  0.344 
C)  0.599 
D)  0.100 
A)  0.002 
B)  0.344 
C)  0.599 
D)  0.100

Question 16

To construct a binomial probability distribution, the mean must be known.

Accepted Answer

A) True 
 B)False

Question 17

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)  1.62 
B)  1.41 
C)  5.00 
D)  55.52 
A)  1.62 
B)  1.41 
C)  5.00 
D)  55.52

Question 18

There are ten flights from Minneapolis to St. Cloud each day. The probability that any one flight is late is 0.05. Using the binomial probability formula, what is the probability that 1 or more are late?

Accepted Answer

The answer of There are ten flights from Minneapolis to...

Question 19

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

Accepted Answer

square roo

Question 20

Elly's hot dog emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chilidogs with hot peppers. Suppose 18 customers are selected at random. What is the probability that between two and six people inclusive want hot peppers? ________

Accepted Answer

The answer of Elly's hot dog emporium is famous for...

In a binomial, hypergeometric, and Poisson distribution, the random variable is ______________.

In a large metropolitan area, past records revealed that 30 percent 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?

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. Given the probability distribution, which of the following predictions is correct?

Explain the difference between the application of the binomial and the hypergeometric probability distributions.

For the hypergeometric distribution there are ________________ possible outcomes.

If the variance is 3.6 grams, what is the standard deviation?

Which of the following is correct about a probability distribution?

For any probability distribution, the mean is calculated as a weighted mean. The weights are the ______________.

A statistics professor receives an average of five e-mail messages per day from students. Assume the number of messages approximates a Poisson distribution. What is the probability that on a randomly selected day she will have two messages?

Sixty percent of the customers of a fast food chain order a hamburger, french fries and a drink. If a random sample of 15 cash register receipts is selected, what is the probability that 10 or more will show that the above three food items were ordered?

A random variable represents the outcomes of an experiment.

What kind of distribution are the binomial and Poisson distributions?

The random variable for a Poisson probability distribution can assume an infinite number of values.

To construct a binomial probability distribution, the mean must be known.

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?

There are ten flights from Minneapolis to St. Cloud each day. The probability that any one flight is late is 0.05. Using the binomial probability formula, what is the probability that 1 or more are late?

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

Elly's hot dog emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chilidogs with hot peppers. Suppose 18 customers are selected at random. What is the probability that between two and six people inclusive want hot peppers? ________

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

Index Numbers

Time Series and Forecasting

Nonparametric Methods: Goodness-Of-Fit Tests

Nonparametric Methods: Analysis of Ranked Data

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters

Exam 6: Discrete Probability Distributions

In a binomial, hypergeometric, and Poisson distribution, the random variable is ______________.

In a large metropolitan area, past records revealed that 30 percent 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?

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. Given the probability distribution, which of the following predictions is correct?

Explain the difference between the application of the binomial and the hypergeometric probability distributions.

For the hypergeometric distribution there are ________________ possible outcomes.

If the variance is 3.6 grams, what is the standard deviation?

Which of the following is correct about a probability distribution?

For any probability distribution, the mean is calculated as a weighted mean. The weights are the ______________.

A statistics professor receives an average of five e-mail messages per day from students. Assume the number of messages approximates a Poisson distribution. What is the probability that on a randomly selected day she will have two messages?

Sixty percent of the customers of a fast food chain order a hamburger, french fries and a drink. If a random sample of 15 cash register receipts is selected, what is the probability that 10 or more will show that the above three food items were ordered?

A random variable represents the outcomes of an experiment.

What kind of distribution are the binomial and Poisson distributions?

The random variable for a Poisson probability distribution can assume an infinite number of values.

To construct a binomial probability distribution, the mean must be known.

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?

There are ten flights from Minneapolis to St. Cloud each day. The probability that any one flight is late is 0.05. Using the binomial probability formula, what is the probability that 1 or more are late?

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

Elly's hot dog emporium is famous for its chilidogs. Elly's latest sales indicate that 30% of the customers order their chilidogs with hot peppers. Suppose 18 customers are selected at random. What is the probability that between two and six people inclusive want hot peppers? ________

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

Index Numbers

Time Series and Forecasting

Nonparametric Methods: Goodness-Of-Fit Tests

Nonparametric Methods: Analysis of Ranked Data

Statistical Process Control and Quality Management

An Introduction to Decision Theory

Filters