Question 1

A gambler rolls a 3 with one roll of a single fair die.Given that the die was six-sided,what was the probability of rolling a 3 with one roll?

Accepted Answer

A)  1/6 
B)  3/6 
C)  1/9 
D)  3/9 
A)  1/6 
B)  3/6 
C)  1/9 
D)  3/9 A

Question 2

Which rule states that when two outcomes are independent,the probability that these outcomes occur together is the product 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 B

Question 3

When the sum of the probabilities of two outcomes is exhaustive of all possible outcomes,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. B

Question 4

A researcher reports that the probability of a college student living on campus is p = .38.If a small local college has 2,000 students enrolled,then what is the standard deviation of college students living on campus? Hint: This is a binomial probability distribution.

Accepted Answer

A)  471.2 students 
B)  21.7 students 
C)  760 students 
D)  There is not enough information to answer this question. 
A)  471.2 students 
B)  21.7 students 
C)  760 students 
D)  There is not enough information to answer this question.

Question 5

Probability allows us to make predictions regarding:

Accepted Answer

A)  random events. 
B)  random outcomes. 
C)  random variables. 
D)  all of these. 
A)  random events. 
B)  random outcomes. 
C)  random variables. 
D)  all of these.

Question 6

While the expected value of the mean estimates the average outcome,the standard deviation of a probability distribution estimates the distance that all other outcomes deviate from the mean.

Accepted Answer

A) True 
 B)False

Question 7

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 these. 
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 these.

Question 8

A researcher records the number of buckets of popcorn purchased by patrons during one night at the movies.She finds that the probability that a patron purchased 0 buckets of popcorn is p = .27; 1 bucket is p = .51; 2 buckets is p = .17; and 3 buckets is p = .05.How many buckets of popcorn can we expect a patron to purchase per night at the movies in the long run?

Accepted Answer

A)  exactly 1 bucket of popcorn per night 
B)  more than 1 bucket of popcorn per night 
C)  less than one bucket of popcorn per night 
D)  none of these 
A)  exactly 1 bucket of popcorn per night 
B)  more than 1 bucket of popcorn per night 
C)  less than one bucket of popcorn per night 
D)  none of these

Question 9

Probability ranges between 0 and 1 and is never negative.

Accepted Answer

A) True 
 B)False

Question 10

The expected value of a random variable is the mean of a probability distribution.

Accepted Answer

A) True 
 B)False

Question 11

Complementary outcomes are exhaustive of all possible outcomes.

Accepted Answer

A) True 
 B)False

Question 12

The probability that a participant is married is p(M)= .60.The probability that a participant is married and "in love" is p(M$\cap$L)= .46.Thus,the probability that a participant is in love,given that the participant is married,is p = .77.

Accepted Answer

A) True 
 B)False

Question 13

The proportion or fraction of times an outcome is likely to occur is referred to as

Accepted Answer

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

Question 14

Which of the following is a mathematical formula that relates the conditional and marginal (unconditional)probabilities of two conditional outcomes that occur at random?

Accepted Answer

A)  Bayes's theorem 
B)  simple probability 
C)  random event sampling 
D)  descriptive statistics 
A)  Bayes's theorem 
B)  simple probability 
C)  random event sampling 
D)  descriptive statistics

Question 15

If there are 13 heart cards in a deck of 52 cards,then what is the probability of selecting one heart card on a single draw from the deck of cards?

Accepted Answer

A)  13/52 
B)  1/52 
C)  26/52 
D)  1/13 
A)  13/52 
B)  1/52 
C)  26/52 
D)  1/13

Question 16

The probability that a parent rewards a child with a dessert for eating a healthy meal is .07.Assuming independent outcomes,the probability that two parents reward their child's healthy eating equals ______.

Accepted Answer

A)  .07 
B)  .14 
C)  .05 
D)  .005 
A)  .07 
B)  .14 
C)  .05 
D)  .005

Question 17

Probability distributions follow the same rules as probability: They are never negative and vary between -$\infty$ and +$\infty$.

Accepted Answer

A) True 
 B)False

Question 18

A researcher finds that 20 of 120 students failed an exam.In this case,the probability of failing this exam was ______.

Accepted Answer

A)  .14 
B)  .17 
C)  .20 
D)  unknown 
A)  .14 
B)  .17 
C)  .20 
D)  unknown

Question 19

Suppose that the probability that any child of alcoholic parents becomes alcoholic is p = .16.Assuming independent outcomes,the probability that two children of alcoholic parents will be alcoholic equals ______.

Accepted Answer

A)  .16 
B)  .32 
C)  .25 
D)  .03 
A)  .16 
B)  .32 
C)  .25 
D)  .03

Question 20

The expected value of a random variable can be thought of as a "long-term" mean.

Accepted Answer

A) True 
 B)False

A gambler rolls a 3 with one roll of a single fair die.Given that the die was six-sided,what was the probability of rolling a 3 with one roll?

Which rule states that when two outcomes are independent,the probability that these outcomes occur together is the product of their individual probabilities?

When the sum of the probabilities of two outcomes is exhaustive of all possible outcomes,these outcomes are referred to as

A researcher reports that the probability of a college student living on campus is p = .38.If a small local college has 2,000 students enrolled,then what is the standard deviation of college students living on campus? Hint: This is a binomial probability distribution.

Probability allows us to make predictions regarding:

While the expected value of the mean estimates the average outcome,the standard deviation of a probability distribution estimates the distance that all other outcomes deviate from the mean.

By definition,the probability of an outcome or event is

Probability ranges between 0 and 1 and is never negative.

The expected value of a random variable is the mean of a probability distribution.

Complementary outcomes are exhaustive of all possible outcomes.

The probability that a participant is married is p(M)= .60.The probability that a participant is married and "in love" is p(M $\cap$ L)= .46.Thus,the probability that a participant is in love,given that the participant is married,is p = .77.

The proportion or fraction of times an outcome is likely to occur is referred to as

Which of the following is a mathematical formula that relates the conditional and marginal (unconditional)probabilities of two conditional outcomes that occur at random?

If there are 13 heart cards in a deck of 52 cards,then what is the probability of selecting one heart card on a single draw from the deck of cards?

The probability that a parent rewards a child with a dessert for eating a healthy meal is .07.Assuming independent outcomes,the probability that two parents reward their child's healthy eating equals ______.

Probability distributions follow the same rules as probability: They are never negative and vary between - $\infty$ and + $\infty$ .

A researcher finds that 20 of 120 students failed an exam.In this case,the probability of failing this exam was ______.

Suppose that the probability that any child of alcoholic parents becomes alcoholic is p = .16.Assuming independent outcomes,the probability that two children of alcoholic parents will be alcoholic equals ______.

The expected value of a random variable can be thought of as a "long-term" 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

A gambler rolls a 3 with one roll of a single fair die.Given that the die was six-sided,what was the probability of rolling a 3 with one roll?

Which rule states that when two outcomes are independent,the probability that these outcomes occur together is the product of their individual probabilities?

When the sum of the probabilities of two outcomes is exhaustive of all possible outcomes,these outcomes are referred to as

A researcher reports that the probability of a college student living on campus is p = .38.If a small local college has 2,000 students enrolled,then what is the standard deviation of college students living on campus? Hint: This is a binomial probability distribution.

Probability allows us to make predictions regarding:

While the expected value of the mean estimates the average outcome,the standard deviation of a probability distribution estimates the distance that all other outcomes deviate from the mean.

By definition,the probability of an outcome or event is

Probability ranges between 0 and 1 and is never negative.

The expected value of a random variable is the mean of a probability distribution.

Complementary outcomes are exhaustive of all possible outcomes.

The probability that a participant is married is p(M)= .60.The probability that a participant is married and "in love" is p(M ∩\cap∩ L)= .46.Thus,the probability that a participant is in love,given that the participant is married,is p = .77.

The proportion or fraction of times an outcome is likely to occur is referred to as

Which of the following is a mathematical formula that relates the conditional and marginal (unconditional)probabilities of two conditional outcomes that occur at random?

If there are 13 heart cards in a deck of 52 cards,then what is the probability of selecting one heart card on a single draw from the deck of cards?

The probability that a parent rewards a child with a dessert for eating a healthy meal is .07.Assuming independent outcomes,the probability that two parents reward their child's healthy eating equals ______.

Probability distributions follow the same rules as probability: They are never negative and vary between - ∞\infty∞ and + ∞\infty∞ .

A researcher finds that 20 of 120 students failed an exam.In this case,the probability of failing this exam was ______.

Suppose that the probability that any child of alcoholic parents becomes alcoholic is p = .16.Assuming independent outcomes,the probability that two children of alcoholic parents will be alcoholic equals ______.

The expected value of a random variable can be thought of as a "long-term" 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

The probability that a participant is married is p(M)= .60.The probability that a participant is married and "in love" is p(M $\cap$ L)= .46.Thus,the probability that a participant is in love,given that the participant is married,is p = .77.

Probability distributions follow the same rules as probability: They are never negative and vary between - $\infty$ and + $\infty$ .