Question 1

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

Accepted Answer

A) True 
 B)False

Question 2

Conditional outcomes refer to those where the probability of one outcome is independent of the probability of the occurrence of the second outcome.

Accepted Answer

A) True 
 B)False

Question 3

A researcher determines that the probability of missing class among students at a local school is p = .16.Assuming that the school has 300 students enrolled,how many students can we expect to miss class on a given day? Hint: This is a binomial probability distribution.

Accepted Answer

A)  252 students 
B)  48 students 
C)  16 students 
D)  There is not enough information to answer this question. 
A)  252 students 
B)  48 students 
C)  16 students 
D)  There is not enough information to answer this question.

Question 4

The total number of possible outcomes for a random variable is referred to as

Accepted Answer

A)  probability. 
B)  a random event. 
C)  the sample space. 
D)  the sum. 
A)  probability. 
B)  a random event. 
C)  the sample space. 
D)  the sum.

Question 5

Bayes's theorem is most often applied to situations in which probability is not calculated.

Accepted Answer

A) True 
 B)False

Question 6

When the probability of one outcome changes depending on the occurrence of the second outcome,these outcomes are referred to as

Accepted Answer

A)  mutually exclusive. 
B)  complementary. 
C)  independent. 
D)  conditional. 
A)  mutually exclusive. 
B)  complementary. 
C)  independent. 
D)  conditional.

Question 7

Which rule states that when two outcomes are mutually exclusive,the probability that either one of these outcomes will occur is the sum of their individual probabilities?

Accepted Answer

A)  additive rule 
B)  multiplicative rule 
C)  additive rule and multiplicative rule 
D)  none of these 
A)  additive rule 
B)  multiplicative rule 
C)  additive rule and multiplicative rule 
D)  none of these

Question 8

A probability can be stated as a proportion.

Accepted Answer

A) True 
 B)False

Question 9

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

Accepted Answer

A)  0.48 
B)  0.69 
C)  0.24 
D)  2.00 
A)  0.48 
B)  0.69 
C)  0.24 
D)  2.00

Question 10

Each of the following is an example of a binomial distribution,except

Accepted Answer

A)  the number of heads in ten flips of a fair coin. 
B)  the number of males and females in a sample. 
C)  the number of votes for or against a candidate. 
D)  the time it takes to complete a driving test. 
A)  the number of heads in ten flips of a fair coin. 
B)  the number of males and females in a sample. 
C)  the number of votes for or against a candidate. 
D)  the time it takes to complete a driving test.

Question 11

Two outcomes are mutually exclusive when the probability of one outcome is equal to the probability of the second outcome.

Accepted Answer

A) True 
 B)False

Question 12

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

Accepted Answer

A) True 
 B)False

Question 13

The probability that someone in the human population has blood type AB is about p = .08; the probability that someone has blood type O is about p = .25.Knowing that each individual can have one and only one blood type,what is the probability that a person has an AB or O blood type?

Accepted Answer

A)  .33 
B)  .02 
C)  1.00 
D)  This state of affairs is not possible. 
A)  .33 
B)  .02 
C)  1.00 
D)  This state of affairs is not possible.

Question 14

Two outcomes are said to be mutually exclusive when

Accepted Answer

A)  the probability of the two outcomes occurring together is equal to zero (p = 0). 
B)  the probability of the occurrence of one outcome has no effect on the probability of the occurrence of the second outcome. 
C)  the probability of the two outcomes occurring together is greater than zero (p > 0). 
D)  the probability of the two outcomes occurring together sums to one. 
A)  the probability of the two outcomes occurring together is equal to zero (p = 0). 
B)  the probability of the occurrence of one outcome has no effect on the probability of the occurrence of the second outcome. 
C)  the probability of the two outcomes occurring together is greater than zero (p > 0). 
D)  the probability of the two outcomes occurring together sums to one.

Question 15

The mean of a binomial distribution is the product of the number of trials (n)times the probability of the outcome of interest on an individual trial (p).

Accepted Answer

A) True 
 B)False

Question 16

The probability of an outcome is particularly useful for predicting the likelihood of fixed events.

Accepted Answer

A) True 
 B)False

Question 17

The multiplicative rule is used to define mutually exclusive outcomes.

Accepted Answer

A) True 
 B)False

Question 18

In a game,the probability of winning money is p = .16,the probability of losing money is p = .54,and the probability of breaking even is p = .30.What is the probability of winning or losing money in this game?

Accepted Answer

A)  .16 
B)  .54 
C)  .70 
D)  1.00 
A)  .16 
B)  .54 
C)  .70 
D)  1.00

Question 19

The probability distribution is p = .24,.16,.40,and .20 for a random variable with outcomes equal to 0,1,2,or 3,respectively.In this example,the expected value of the mean is greater than two.

Accepted Answer

A) True 
 B)False

Question 20

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

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

Conditional outcomes refer to those where the probability of one outcome is independent of the probability of the occurrence of the second outcome.

A researcher determines that the probability of missing class among students at a local school is p = .16.Assuming that the school has 300 students enrolled,how many students can we expect to miss class on a given day? Hint: This is a binomial probability distribution.

The total number of possible outcomes for a random variable is referred to as

Bayes's theorem is most often applied to situations in which probability is not calculated.

When the probability of one outcome changes depending on the occurrence of the second outcome,these outcomes are referred to as

Which rule states that when two outcomes are mutually exclusive,the probability that either one of these outcomes will occur is the sum of their individual probabilities?

A probability can be stated as a proportion.

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

Each of the following is an example of a binomial distribution,except

Two outcomes are mutually exclusive when the probability of one outcome is equal to the probability of the second outcome.

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

The probability that someone in the human population has blood type AB is about p = .08; the probability that someone has blood type O is about p = .25.Knowing that each individual can have one and only one blood type,what is the probability that a person has an AB or O blood type?

Two outcomes are said to be mutually exclusive when

The mean of a binomial distribution is the product of the number of trials (n)times the probability of the outcome of interest on an individual trial (p).

The probability of an outcome is particularly useful for predicting the likelihood of fixed events.

The multiplicative rule is used to define mutually exclusive outcomes.

In a game,the probability of winning money is p = .16,the probability of losing money is p = .54,and the probability of breaking even is p = .30.What is the probability of winning or losing money in this game?

The probability distribution is p = .24,.16,.40,and .20 for a random variable with outcomes equal to 0,1,2,or 3,respectively.In this example,the expected value of the mean is greater than two.

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.

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: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

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

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

Conditional outcomes refer to those where the probability of one outcome is independent of the probability of the occurrence of the second outcome.

A researcher determines that the probability of missing class among students at a local school is p = .16.Assuming that the school has 300 students enrolled,how many students can we expect to miss class on a given day? Hint: This is a binomial probability distribution.

The total number of possible outcomes for a random variable is referred to as

Bayes's theorem is most often applied to situations in which probability is not calculated.

When the probability of one outcome changes depending on the occurrence of the second outcome,these outcomes are referred to as

Which rule states that when two outcomes are mutually exclusive,the probability that either one of these outcomes will occur is the sum of their individual probabilities?

A probability can be stated as a proportion.

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

Each of the following is an example of a binomial distribution,except

Two outcomes are mutually exclusive when the probability of one outcome is equal to the probability of the second outcome.

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

The probability that someone in the human population has blood type AB is about p = .08; the probability that someone has blood type O is about p = .25.Knowing that each individual can have one and only one blood type,what is the probability that a person has an AB or O blood type?

Two outcomes are said to be mutually exclusive when

The mean of a binomial distribution is the product of the number of trials (n)times the probability of the outcome of interest on an individual trial (p).

The probability of an outcome is particularly useful for predicting the likelihood of fixed events.

The multiplicative rule is used to define mutually exclusive outcomes.

In a game,the probability of winning money is p = .16,the probability of losing money is p = .54,and the probability of breaking even is p = .30.What is the probability of winning or losing money in this game?

The probability distribution is p = .24,.16,.40,and .20 for a random variable with outcomes equal to 0,1,2,or 3,respectively.In this example,the expected value of the mean is greater than two.

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.

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: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

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