Question 1

What type of population consists of a fixed number of individuals,objects,or measurements? ___________

Accepted Answer

The answer of What type of population consists of a...

Question 2

The Poisson probability distribution is always negatively skewed.

Accepted Answer

A) True 
 B)False

Question 3

A listing of all possible outcomes of an experiment and their corresponding probability of occurrence is called a _____________.

Accepted Answer

A) Random variable 
B) Probability distribution 
C) Subjective probability 
D) Frequency distribution 
A) Random variable 
B) Probability distribution 
C) Subjective probability 
D) Frequency distribution

Question 4

A binomial distribution has a characteristic that the trials are independent,which means that the outcome of one trial does not affect the outcome of any other trial.

Accepted Answer

A) True 
 B)False

Question 5

What is the only variable in the Poisson probability formula?

Accepted Answer

A)  $\pi$ 
B) x 
C) e 
D) P 
A)  $\pi$ 
B) x 
C) e 
D) P

Question 6

In a Poisson distribution each trial is ____________________.

Accepted Answer

The answer of In a Poisson distribution each trial is...

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 mean of a binomial probability distribution can be determined by multiplying the probability of a failure by the number of trials.

Accepted Answer

A) True 
 B)False

Question 9

A random variable may be either discrete or continuous.

Accepted Answer

A) True 
 B)False

Question 10

The weight of an offensive linesman may be 205.15 pounds,210.23 pounds,225.05 pounds or 219.14 pounds.What is this an illustration of?

Accepted Answer

A) Continuous random variable 
B) Discrete random variable 
C) Complement rule 
D) All of the above 
A) Continuous random variable 
B) Discrete random variable 
C) Complement rule 
D) All of the above

Question 11

For the following distribution,
 
-What is the variance of the distribution?

Accepted Answer

A) 1.1616 
B) 0.964 
C) 0.982 
D) 1.000 
A) 1.1616 
B) 0.964 
C) 0.982 
D) 1.000

Question 12

This situation is an example of what type of discrete probability distribution? _______________________

Accepted Answer

Binomial p

Question 13

The binomial probability distribution is always negatively skewed.

Accepted Answer

A) True 
 B)False

Question 14

What is the following table called?

Accepted Answer

A) Probability distribution 
B) Cumulative frequency distribution 
C) Standard deviation 
D) Frequency table 
A) Probability distribution 
B) Cumulative frequency distribution 
C) Standard deviation 
D) Frequency table

Question 15

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 16

For a binomial distribution,each trial has a known number of successes.For example,a four question multiple-choice test can only have zero,one,two,three and four successes (number correct).

Accepted Answer

A) True 
 B)False

Question 17

A binomial distribution is a continuous probability distribution.

Accepted Answer

A) True 
 B)False

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 is equal to

Accepted Answer

A) n $\pi$ 
B)    
C) e-x. 
D)    
A) n $\pi$ 
B)    
C) e-x. 
D)

Question 20

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) 0 
C) 1.6595 
D) 2.754 
A) 1.1616 
B) 0 
C) 1.6595 
D) 2.754

What type of population consists of a fixed number of individuals,objects,or measurements? ___________

The Poisson probability distribution is always negatively skewed.

A listing of all possible outcomes of an experiment and their corresponding probability of occurrence is called a _____________.

A binomial distribution has a characteristic that the trials are independent,which means that the outcome of one trial does not affect the outcome of any other trial.

What is the only variable in the Poisson probability formula?

In a Poisson distribution each trial 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 mean of a binomial probability distribution can be determined by multiplying the probability of a failure by the number of trials.

A random variable may be either discrete or continuous.

The weight of an offensive linesman may be 205.15 pounds,210.23 pounds,225.05 pounds or 219.14 pounds.What is this an illustration of?

For the following distribution, -What is the variance of the distribution?

This situation is an example of what type of discrete probability distribution? _______________________

The binomial probability distribution is always negatively skewed.

What is the following table called?

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?

For a binomial distribution,each trial has a known number of successes.For example,a four question multiple-choice test can only have zero,one,two,three and four successes (number correct).

A binomial distribution is a continuous probability distribution.

In a Poisson distribution the mean is equal to

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?

What Is Statistics

Describing Data: Frequency Distributions and Graphic Presentations

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

Linear Regression and Correlation

Multiple Regression and Correlation Analysis

Chi-Square Applications

Filters

Exam 6: Discrete Probability Distributions

What type of population consists of a fixed number of individuals,objects,or measurements? ___________

The Poisson probability distribution is always negatively skewed.

A listing of all possible outcomes of an experiment and their corresponding probability of occurrence is called a _____________.

A binomial distribution has a characteristic that the trials are independent,which means that the outcome of one trial does not affect the outcome of any other trial.

What is the only variable in the Poisson probability formula?

In a Poisson distribution each trial 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 mean of a binomial probability distribution can be determined by multiplying the probability of a failure by the number of trials.

A random variable may be either discrete or continuous.

The weight of an offensive linesman may be 205.15 pounds,210.23 pounds,225.05 pounds or 219.14 pounds.What is this an illustration of?

For the following distribution, -What is the variance of the distribution?

This situation is an example of what type of discrete probability distribution? _______________________

The binomial probability distribution is always negatively skewed.

What is the following table called?

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?

For a binomial distribution,each trial has a known number of successes.For example,a four question multiple-choice test can only have zero,one,two,three and four successes (number correct).

A binomial distribution is a continuous probability distribution.

In a Poisson distribution the mean is equal to

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?

What Is Statistics

Describing Data: Frequency Distributions and Graphic Presentations

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

Linear Regression and Correlation

Multiple Regression and Correlation Analysis

Chi-Square Applications

Filters