Question 1

Probability ranges between 0 and 1 and is never negative.

Accepted Answer

A) True 
 B)False  True

Question 2

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 A

Question 3

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  False

Question 4

Bayes' theorem is often applied to a variety of conditional probability situations,including those related to statistical inference.

Accepted Answer

A) True 
 B)False

Question 5

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

Accepted Answer

A) True 
 B)False

Question 6

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

Accepted Answer

A) True 
 B)False

Question 7

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

Accepted Answer

A) True 
 B)False

Question 8

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 9

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 10

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 11

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 12

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

Accepted Answer

A) True 
 B)False

Question 13

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 14

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 15

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

Accepted Answer

A) True 
 B)False

Question 16

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 17

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

Question 18

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 19

A probability can be stated as a proportion.

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

Probability ranges between 0 and 1 and is never negative.

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

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

Bayes' theorem is often applied to a variety of conditional probability situations,including those related to statistical inference.

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

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

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

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).

Which of the following probability distributions is accurate?

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

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.

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

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.

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

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

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

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

A probability can be stated as a proportion.

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

Summarizing Data: Central Tendency

Summarizing Data: Variability

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

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

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

Filters

Exam 5: Probability, Normal Distributions, and Z Scores

Probability ranges between 0 and 1 and is never negative.

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

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

Bayes' theorem is often applied to a variety of conditional probability situations,including those related to statistical inference.

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

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

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

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).

Which of the following probability distributions is accurate?

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

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.

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

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.

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

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

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

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

A probability can be stated as a proportion.

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

Summarizing Data: Central Tendency

Summarizing Data: Variability

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

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

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Understanding Correlation Coefficients in Statistical Analysis

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.