Question 1

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)  ±20/80, 40/80, 40/80, 20/80 
D)  none of these 
A)  45/80, 20/80, 20/80, 10/80 
B)  10/80, 23/80, 37/80, 10/80 
C)  ±20/80, 40/80, 40/80, 20/80 
D)  none of these

Question 2

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)  No, one of the outcomes is stated as "or more" and the probability distribution does not sum to 1.0. 
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)  No, one of the outcomes is stated as "or more" and the probability distribution does not sum to 1.0.

Question 3

Which of the following is NOT a characteristic of probability?

Accepted Answer

A)  Probability varies between 0 and 1. 
B)  Probability can never be negative. 
C)  Probability can be stated as a fraction or decimal. 
D)  Probability is most useful for describing fixed events. 
A)  Probability varies between 0 and 1. 
B)  Probability can never be negative. 
C)  Probability can be stated as a fraction or decimal. 
D)  Probability is most useful for describing fixed events.

Question 4

For mutually exclusive outcomes,one or the other outcome can occur (Outcome A or Outcome B),but not both outcomes (Outcome A and Outcome B).

Accepted Answer

A) True 
 B)False

Question 5

If the standard deviation of a probability distribution is 9,then the variance is ______.

Accepted Answer

A)  3 
B)  9 
C)  81 
D)  unknown 
A)  3 
B)  9 
C)  81 
D)  unknown

Question 6

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 7

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

Accepted Answer

A) True 
 B)False

Question 8

A researcher states that the probability of getting into an accident on a busy road is .09.Hence,the probability of getting into an accident twice on a busy road is .18.

Accepted Answer

A) True 
 B)False

Question 9

The probability of a team having a sellout crowd is p = .45.The probability of having a sellout crowd and the team winning is p = .32.Hence,the probability of a team winning,given that they have a sellout crowd,is ______.

Accepted Answer

A)  p = .71 
B)  p = .77 
C)  p = .14 
D)  There is not enough information to answer this question. 
A)  p = .71 
B)  p = .77 
C)  p = .14 
D)  There is not enough information to answer this question.

Question 10

Below is the probability distribution for random variable x.What is the probability of at least a score of 2 in this distribution?

Accepted Answer

A)  .18 
B)  .42 
C)  .60 
D)  .82 
A)  .18 
B)  .42 
C)  .60 
D)  .82

Question 11

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 12

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

Question 13

A researcher determines the probability that a research study will reveal something new is p = .80.What is the probability that the study will reveal something new or not reveal something new?

Accepted Answer

A)  .80 
B)  .64 
C)  1.00 
D)  .16 
A)  .80 
B)  .64 
C)  1.00 
D)  .16

Question 14

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 15

The multiplicative rule is used for independent outcomes.

Accepted Answer

A) True 
 B)False

Question 16

A researcher records the following data for the number of bids made on a sample of items sold at an auction.Based on the table,what was the probability that an item had seven bids made on it?

Accepted Answer

A)  5 
B)  10 
C)  .10 
D)  .25 
A)  5 
B)  10 
C)  .10 
D)  .25

Question 17

The distribution of probabilities for each outcome of a random variable that sums to 1.00 is called a

Accepted Answer

A)  random variable. 
B)  probability distribution. 
C)  conditional probability. 
D)  sample space. 
A)  random variable. 
B)  probability distribution. 
C)  conditional probability. 
D)  sample space.

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

A researcher determines that the relative frequency of participants with prescription glasses is .23.Hence,the probability that participants will wear prescription glasses must be greater than p = .23.

Accepted Answer

A) True 
 B)False

Question 20

A distribution of probabilities for random outcomes of a bivariate or dichotomous random variable is called a

Accepted Answer

A)  binomial probability distribution. 
B)  distribution of expected values. 
C)  random variable distribution. 
D)  mathematical expectation. 
A)  binomial probability distribution. 
B)  distribution of expected values. 
C)  random variable distribution. 
D)  mathematical expectation.

Which of the following probability distributions is accurate?

Which of the following is NOT a characteristic of probability?

For mutually exclusive outcomes,one or the other outcome can occur (Outcome A or Outcome B),but not both outcomes (Outcome A and Outcome B).

If the standard deviation of a probability distribution is 9,then the variance is ______.

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.

A researcher states that the probability of getting into an accident on a busy road is .09.Hence,the probability of getting into an accident twice on a busy road is .18.

The probability of a team having a sellout crowd is p = .45.The probability of having a sellout crowd and the team winning is p = .32.Hence,the probability of a team winning,given that they have a sellout crowd,is ______.

Below is the probability distribution for random variable x.What is the probability of at least a score of 2 in this distribution?

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

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?

A researcher determines the probability that a research study will reveal something new is p = .80.What is the probability that the study will reveal something new or not reveal something new?

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?

The multiplicative rule is used for independent outcomes.

A researcher records the following data for the number of bids made on a sample of items sold at an auction.Based on the table,what was the probability that an item had seven bids made on it?

The distribution of probabilities for each outcome of a random variable that sums to 1.00 is called a

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

A researcher determines that the relative frequency of participants with prescription glasses is .23.Hence,the probability that participants will wear prescription glasses must be greater than p = .23.

A distribution of probabilities for random outcomes of a bivariate or dichotomous random variable is called a

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

Which of the following probability distributions is accurate?

Which of the following is NOT a characteristic of probability?

For mutually exclusive outcomes,one or the other outcome can occur (Outcome A or Outcome B),but not both outcomes (Outcome A and Outcome B).

If the standard deviation of a probability distribution is 9,then the variance is ______.

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.

A researcher states that the probability of getting into an accident on a busy road is .09.Hence,the probability of getting into an accident twice on a busy road is .18.

The probability of a team having a sellout crowd is p = .45.The probability of having a sellout crowd and the team winning is p = .32.Hence,the probability of a team winning,given that they have a sellout crowd,is ______.

Below is the probability distribution for random variable x.What is the probability of at least a score of 2 in this distribution?

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

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?

A researcher determines the probability that a research study will reveal something new is p = .80.What is the probability that the study will reveal something new or not reveal something new?

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?

The multiplicative rule is used for independent outcomes.

A researcher records the following data for the number of bids made on a sample of items sold at an auction.Based on the table,what was the probability that an item had seven bids made on it?

The distribution of probabilities for each outcome of a random variable that sums to 1.00 is called a

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

A researcher determines that the relative frequency of participants with prescription glasses is .23.Hence,the probability that participants will wear prescription glasses must be greater than p = .23.

A distribution of probabilities for random outcomes of a bivariate or dichotomous random variable is called a

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