Question 1

Bayes' theorem is a conditional probability formula.

Accepted Answer

A) True 
 B)False

Question 2

By definition,the probability of an outcome or event is

Accepted Answer

A) the proportion of times an outcome is likely to occur 
B) the fraction of times an outcome is likely to occur 
C) particularly useful for predicting the likelihood of random events 
D) all of the above 
A) the proportion of times an outcome is likely to occur 
B) the fraction of times an outcome is likely to occur 
C) particularly useful for predicting the likelihood of random events 
D) all of the above

Question 3

Which of the following probability distributions is accurate?

Accepted Answer

A) 45/80,20/80,20/80,10/80 
B) 10/80,23/80,37/80,10/80 
C) ñ20/80,40/80,40/80,20/80 
D) none of the above 
A) 45/80,20/80,20/80,10/80 
B) 10/80,23/80,37/80,10/80 
C) ñ20/80,40/80,40/80,20/80 
D) none of the above

Question 4

Suppose you open a new game at the county fair.When patrons win,you pay them $3.00;when patrons lose,they pay you $1.00.If the probability of a patron winning is p = .20,then how much can you expect to win (or lose)in the long run? Hint: You need to compute the expected value of the mean.

Accepted Answer

A) win 0.20 cents per play 
B) win 0.60 cents per play 
C) lose 0.80 cents per play 
D) lose 2.20 dollars per play 
A) win 0.20 cents per play 
B) win 0.60 cents per play 
C) lose 0.80 cents per play 
D) lose 2.20 dollars per play

Question 5

The following are six random outcomes for a sample space: -1,-3,-3,-2,-5,and -6.What is the probability of selecting a -3 in this example?

Accepted Answer

A) 1/6 
B) 2/6 
C) -2/6 
D) -3/6 
A) 1/6 
B) 2/6 
C) -2/6 
D) -3/6

Question 6

Complementary outcomes are exhaustive of all possible outcomes.

Accepted Answer

A) True 
 B)False

Question 7

Below is the probability distribution for random variable x.What is the standard deviation of this probability distribution?

Accepted Answer

A) 6.20 
B) 2.49 
C) 1.00 
D) 0.35 
A) 6.20 
B) 2.49 
C) 1.00 
D) 0.35

Question 8

Two outcomes are mutually exclusive when the probability of one outcome does not affect the probability of the second outcome.

Accepted Answer

A) True 
 B)False

Question 9

A researcher has participants choose between three advertisements.She finds that 54 prefer Ad A,86 prefer Ad B,and 60 prefer Ad C.The probability or proportion of participants preferring Ad B is

Accepted Answer

A) .86 
B) .60 
C) .43 
D) 86 
A) .86 
B) .60 
C) .43 
D) 86

Question 10

The relative frequency of an outcome is the probability of its occurrence.

Accepted Answer

A) True 
 B)False

Question 11

Mathematical expectation can be used to estimate the expected value of variance and standard deviation.

Accepted Answer

A) True 
 B)False

Question 12

If an outcome has a 1 in 100 chance of occurrence,then the probability of that outcome is p = .10.

Accepted Answer

A) True 
 B)False

Question 13

The sample space is equal to the total number of random outcomes possible for a random variable.

Accepted Answer

A) True 
 B)False

Question 14

Probability allows us to make predictions regarding:

Accepted Answer

A) random events 
B) random outcomes 
C) random variables 
D) all of the above 
A) random events 
B) random outcomes 
C) random variables 
D) all of the above

Question 15

A researcher records the number of mistakes made during a memory skills task.He finds that the probability that participants in this study made 0 mistakes is p = .22;made 1 mistake is p = .30;made 2 mistakes is p = .16;made 3 mistakes is p = .12;and made 4 or more mistakes is p = .25.Is this probability distribution accurate?

Accepted Answer

A) Yes,it distributes all possible outcomes for the random variable. 
B) No,one of the outcomes is stated as "or more." 
C) No,the probability distribution does not sum to 1.0. 
D) both B and C 
A) Yes,it distributes all possible outcomes for the random variable. 
B) No,one of the outcomes is stated as "or more." 
C) No,the probability distribution does not sum to 1.0. 
D) both B and C

Question 16

A researcher determines that the probability of winning a new game is p = .32.Assuming winning and losing are mutually exclusive events,what is the probability of winning and losing the new game?

Accepted Answer

A) .22 
B) .68 
C) 1.00 
D) This outcome is not possible. 
A) .22 
B) .68 
C) 1.00 
D) This outcome is not possible.

Question 17

A news poll showed that voters had no preference for either of three candidates.In this example,the probability of a vote for,say,Candidate A equals

Accepted Answer

A) 1/2 
B) 1/3 
C) 2/3 
D) 1.00 
A) 1/2 
B) 1/3 
C) 2/3 
D) 1.00

Question 18

A binomial probability distribution is constructed for random variables that have at least two possible outcomes.

Accepted Answer

A) True 
 B)False

Question 19

The following probability distribution for outcomes 0,1,2,and 3,respectively,is possible: 18/30,3/30,4/30,and 5/30.

Accepted Answer

A) True 
 B)False

Question 20

Below is the probability distribution for the number of times students had to take the same exam before passing it.What is the value at the second standard deviation above the mean for this probability distribution?

Accepted Answer

A) 3.10 
B) 3.40 
C) 3.90 
D) 3.79 
A) 3.10 
B) 3.40 
C) 3.90 
D) 3.79

Bayes' theorem is a conditional probability formula.

By definition,the probability of an outcome or event is

Which of the following probability distributions is accurate?

Suppose you open a new game at the county fair.When patrons win,you pay them $3.00;when patrons lose,they pay you $1.00.If the probability of a patron winning is p = .20,then how much can you expect to win (or lose)in the long run? Hint: You need to compute the expected value of the mean.

The following are six random outcomes for a sample space: -1,-3,-3,-2,-5,and -6.What is the probability of selecting a -3 in this example?

Complementary outcomes are exhaustive of all possible outcomes.

Below is the probability distribution for random variable x.What is the standard deviation of this probability distribution?

Two outcomes are mutually exclusive when the probability of one outcome does not affect the probability of the second outcome.

A researcher has participants choose between three advertisements.She finds that 54 prefer Ad A,86 prefer Ad B,and 60 prefer Ad C.The probability or proportion of participants preferring Ad B is

The relative frequency of an outcome is the probability of its occurrence.

Mathematical expectation can be used to estimate the expected value of variance and standard deviation.

If an outcome has a 1 in 100 chance of occurrence,then the probability of that outcome is p = .10.

The sample space is equal to the total number of random outcomes possible for a random variable.

Probability allows us to make predictions regarding:

A researcher determines that the probability of winning a new game is p = .32.Assuming winning and losing are mutually exclusive events,what is the probability of winning and losing the new game?

A news poll showed that voters had no preference for either of three candidates.In this example,the probability of a vote for,say,Candidate A equals

A binomial probability distribution is constructed for random variables that have at least two possible outcomes.

The following probability distribution for outcomes 0,1,2,and 3,respectively,is possible: 18/30,3/30,4/30,and 5/30.

Below is the probability distribution for the number of times students had to take the same exam before passing it.What is the value at the second standard deviation above the mean for this probability distribution?

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Probability and Sampling Distributions

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample and Two-Independent Sample T Tests

Testing Means: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

Analysis of Variance: Two-Way Between-Subjects Factorial Design

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

Exam 5: Probability

Bayes' theorem is a conditional probability formula.

By definition,the probability of an outcome or event is

Which of the following probability distributions is accurate?

Suppose you open a new game at the county fair.When patrons win,you pay them $3.00;when patrons lose,they pay you $1.00.If the probability of a patron winning is p = .20,then how much can you expect to win (or lose)in the long run? Hint: You need to compute the expected value of the mean.

The following are six random outcomes for a sample space: -1,-3,-3,-2,-5,and -6.What is the probability of selecting a -3 in this example?

Complementary outcomes are exhaustive of all possible outcomes.

Below is the probability distribution for random variable x.What is the standard deviation of this probability distribution?

Two outcomes are mutually exclusive when the probability of one outcome does not affect the probability of the second outcome.

A researcher has participants choose between three advertisements.She finds that 54 prefer Ad A,86 prefer Ad B,and 60 prefer Ad C.The probability or proportion of participants preferring Ad B is

The relative frequency of an outcome is the probability of its occurrence.

Mathematical expectation can be used to estimate the expected value of variance and standard deviation.

If an outcome has a 1 in 100 chance of occurrence,then the probability of that outcome is p = .10.

The sample space is equal to the total number of random outcomes possible for a random variable.

Probability allows us to make predictions regarding:

A researcher determines that the probability of winning a new game is p = .32.Assuming winning and losing are mutually exclusive events,what is the probability of winning and losing the new game?

A news poll showed that voters had no preference for either of three candidates.In this example,the probability of a vote for,say,Candidate A equals

A binomial probability distribution is constructed for random variables that have at least two possible outcomes.

The following probability distribution for outcomes 0,1,2,and 3,respectively,is possible: 18/30,3/30,4/30,and 5/30.

Below is the probability distribution for the number of times students had to take the same exam before passing it.What is the value at the second standard deviation above the mean for this probability distribution?

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Probability and Sampling Distributions

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample and Two-Independent Sample T Tests

Testing Means: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

Analysis of Variance: Two-Way Between-Subjects Factorial Design

Correlation

Linear Regression and Multiple Regression

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters