Question 1

Which Excel function would generate a single random X value for a binomial random variable with parameters n = 16 and π = .25?

Accepted Answer

A)  =BINOM.DIST(RAND(),16,.25,0) 
B)  =BINOM.DIST(0,16,.25,RAND()) 
C)  =BINOM.INV(16,.25,RAND()) 
D)  =BINOM.INV(0,16,.25,RAND()) 
A)  =BINOM.DIST(RAND(),16,.25,0) 
B)  =BINOM.DIST(0,16,.25,RAND()) 
C)  =BINOM.INV(16,.25,RAND()) 
D)  =BINOM.INV(0,16,.25,RAND())

Question 2

If X is a discrete uniform random variable ranging from one to eight,find P(X < 6).

Accepted Answer

A)  .6250 
B)  .5000 
C)  .7500 
D)  .3750 
A)  .6250 
B)  .5000 
C)  .7500 
D)  .3750

Question 3

Which probability model would you use to describe the number of damaged printers in a random sample of 4 printers taken from a shipment of 28 printers that contains 3 damaged printers?

Accepted Answer

A)  Poisson 
B)  Hypergeometric 
C)  Binomial 
D)  Uniform 
A)  Poisson 
B)  Hypergeometric 
C)  Binomial 
D)  Uniform

Question 4

The domain of X in a Poisson probability distribution is discrete and can include:

Accepted Answer

A)  any real X value. 
B)  any integer X value. 
C)  any nonnegative integer X value. 
D)  any X value except zero. 
A)  any real X value. 
B)  any integer X value. 
C)  any nonnegative integer X value. 
D)  any X value except zero.

Question 5

If X is a discrete uniform random variable ranging from 12 to 24,its mean is:

Accepted Answer

A)  18.5. 
B)  16.0. 
C)  18.0. 
D)  19.5. 
A)  18.5. 
B)  16.0. 
C)  18.0. 
D)  19.5.

Question 6

The Poisson distribution has only one parameter.

Accepted Answer

A) True 
 B)False

Question 7

Based on experience,60 percent of the women who request a pregnancy test at a certain clinic are actually pregnant.In a random sample of 12 women,what is the probability that at least 10 are pregnant?

Accepted Answer

A)  .0639 
B)  .1424 
C)  .0196 
D)  .0835 
A)  .0639 
B)  .1424 
C)  .0196 
D)  .0835

Which Excel function would generate a single random X value for a binomial random variable with parameters n = 16 and π = .25?

If X is a discrete uniform random variable ranging from one to eight,find P(X < 6).

Which probability model would you use to describe the number of damaged printers in a random sample of 4 printers taken from a shipment of 28 printers that contains 3 damaged printers?

The domain of X in a Poisson probability distribution is discrete and can include:

If X is a discrete uniform random variable ranging from 12 to 24,its mean is:

The Poisson distribution has only one parameter.

Based on experience,60 percent of the women who request a pregnancy test at a certain clinic are actually pregnant.In a random sample of 12 women,what is the probability that at least 10 are pregnant?

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Analysis of Variance

Simple Regression

Multiple Regression

Time-Series Analysis

Chi-Square Tests

Nonparametric Tests

Quality Management

Filters

Exam 6: Discrete Probability Distributions

Which Excel function would generate a single random X value for a binomial random variable with parameters n = 16 and π = .25?

If X is a discrete uniform random variable ranging from one to eight,find P(X < 6).

Which probability model would you use to describe the number of damaged printers in a random sample of 4 printers taken from a shipment of 28 printers that contains 3 damaged printers?

The domain of X in a Poisson probability distribution is discrete and can include:

If X is a discrete uniform random variable ranging from 12 to 24,its mean is:

The Poisson distribution has only one parameter.

Based on experience,60 percent of the women who request a pregnancy test at a certain clinic are actually pregnant.In a random sample of 12 women,what is the probability that at least 10 are pregnant?

Overview of Statistics

Data Collection

Describing Data Visually

Descriptive Statistics

Probability

Continuous Probability Distributions

Sampling Distributions and Estimation

One-Sample Hypothesis Tests

Two-Sample Hypothesis Tests

Analysis of Variance

Simple Regression

Multiple Regression

Time-Series Analysis

Chi-Square Tests

Nonparametric Tests

Quality Management

Filters