Question 1

Which of the following is not a property of a binomial experiment?

Accepted Answer

A) the experiment consists of a sequence of n identical trials 
B) each outcome can be referred to as a success or a failure 
C) the probabilities of the two outcomes can change from one trial to the next 
D) the trials are independent 
A) the experiment consists of a sequence of n identical trials 
B) each outcome can be referred to as a success or a failure 
C) the probabilities of the two outcomes can change from one trial to the next 
D) the trials are independent

Question 2

The function used to compute the probability of x successes in n trials, when the trials are dependent, is the

Accepted Answer

A) binomial probability function 
B) Poisson probability function 
C) hypergeometric probability function 
D) exponential probability function 
A) binomial probability function 
B) Poisson probability function 
C) hypergeometric probability function 
D) exponential probability function

Question 3

Exhibit 5-4
A local bottling company has determined the number of machine breakdowns per month and their respective probabilities as shown below.
  
-Refer to Exhibit 5-4. The probability of at least 3 breakdowns in a month is

Accepted Answer

A) 0.5 
B) 0.10 
C) 0.30 
D) None of the alternative answers is correct. 
A) 0.5 
B) 0.10 
C) 0.30 
D) None of the alternative answers is correct.

Question 4

Exhibit 5-10
The probability that Pete will catch fish on a particular day when he goes fishing is 0.8. Pete is going fishing 3 days next week.
-Refer to Exhibit 5-10. The probability that Pete will catch fish on exactly one day is

Accepted Answer

A) .008 
B) .096 
C) .104 
D) .8 
A) .008 
B) .096 
C) .104 
D) .8

Question 5

Consider a Poisson probability distribution in a process with an average of 3 flaws every 100 feet. Find the probability of
a. no flaws in 100 feet
b. 2 flaws in 100 feet
c. 1 flaws in 150 feet
d. 3 or 4 flaws in 150 feet

Accepted Answer

a. .0498
b

Question 6

Seventy percent of the students applying to a university are accepted. What is the probability that among the next 18 applicants
a.At least 6 will be accepted?
b.Exactly 10 will be accepted?
c.Exactly 5 will be rejected?
d.Fifteen or more will be accepted?
e.Determine the expected number of acceptances.
f. Compute the standard deviation.

Accepted Answer

a.0.9988
b.0.0811
c.

Which of the following is not a property of a binomial experiment?

The function used to compute the probability of x successes in n trials, when the trials are dependent, is the

Exhibit 5-4 A local bottling company has determined the number of machine breakdowns per month and their respective probabilities as shown below. -Refer to Exhibit 5-4. The probability of at least 3 breakdowns in a month is

Exhibit 5-10 The probability that Pete will catch fish on a particular day when he goes fishing is 0.8. Pete is going fishing 3 days next week. -Refer to Exhibit 5-10. The probability that Pete will catch fish on exactly one day is

Consider a Poisson probability distribution in a process with an average of 3 flaws every 100 feet. Find the probability of a. no flaws in 100 feet b. 2 flaws in 100 feet c. 1 flaws in 150 feet d. 3 or 4 flaws in 150 feet

Data and Statistics

Descriptive Statistics: Tabular and Graphical Presentations

Descriptive Statistics: Numerical Measures

Introduction to Probability

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Comparisons Involving Means, Experimental Design, and Analysis of Variance

Comparisons Involving Proportions and a Test of Independence

Simple Linear Regression

Multiple Regression

Statistical Methods for Quality Control

Time Series Analysis and Forecastng

Filters

Exam 5: Discrete Probability Distributions

Which of the following is not a property of a binomial experiment?

The function used to compute the probability of x successes in n trials, when the trials are dependent, is the

Exhibit 5-4 A local bottling company has determined the number of machine breakdowns per month and their respective probabilities as shown below. -Refer to Exhibit 5-4. The probability of at least 3 breakdowns in a month is

Exhibit 5-10 The probability that Pete will catch fish on a particular day when he goes fishing is 0.8. Pete is going fishing 3 days next week. -Refer to Exhibit 5-10. The probability that Pete will catch fish on exactly one day is

Consider a Poisson probability distribution in a process with an average of 3 flaws every 100 feet. Find the probability of a. no flaws in 100 feet b. 2 flaws in 100 feet c. 1 flaws in 150 feet d. 3 or 4 flaws in 150 feet

Data and Statistics

Descriptive Statistics: Tabular and Graphical Presentations

Descriptive Statistics: Numerical Measures

Introduction to Probability

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Comparisons Involving Means, Experimental Design, and Analysis of Variance

Comparisons Involving Proportions and a Test of Independence

Simple Linear Regression

Multiple Regression

Statistical Methods for Quality Control

Time Series Analysis and Forecastng

Filters