Question 1

What is the probability of randomly selecting a z-score greater than z = 0.75 from a normal distribution?​

Accepted Answer

A) ​0.7734 
B) ​0.2266 
C) ​0.2734 
D) ​0.4532 
A) ​0.7734 
B) ​0.2266 
C) ​0.2734 
D) ​0.4532

Question 2

A normal distribution has a mean of µ = 70 with σ = 12.If one score is randomly selected from this distribution,what is the probability that the score will be greater than X = 79?​

Accepted Answer

A) ​0.7734 
B) ​0.2266 
C) ​0.2734 
D) ​0.3085 
A) ​0.7734 
B) ​0.2266 
C) ​0.2734 
D) ​0.3085

Question 3

John drives to work each morning and the trip takes an average of µ = 38 minutes.The distribution of driving times is approximately normal with a standard deviation of σ = 5 minutes.For a randomly selected morning,what is the probability that John's drive to work will take between 36 and 40 minutes?​

Accepted Answer

A) ​0.0793 
B) ​0.1526 
C) ​0.1554 
D) ​0.3108 
A) ​0.0793 
B) ​0.1526 
C) ​0.1554 
D) ​0.3108

Question 4

For a normal distribution,the z-score boundary that separates the lowest 2.5% of the scores from the rest is z = -1.96.

Accepted Answer

A) True 
 B)False

Question 5

For a normal distribution with µ = 200 and σ = 50,find the following values:
a. What X value separates the highest 10% of the distribution from the rest of the scores?
b. What X values form the boundaries for the middle 60% of the distribution?
c. What is the probability of randomly selecting a score greater than X = 325?

Accepted Answer

a.z = 1.28,X = 264
b

Question 6

If one score is randomly selected from a normal distribution with µ = 100 and σ = 20,the probability of obtaining a score less than X = 70 is p = 0.0013.

Accepted Answer

A) True 
 B)False

Question 7

If one score is randomly selected from a normal distribution with µ = 100 and σ = 20,the probability of obtaining a score between X = 80 and X = 120 is p = 0.3413.

Accepted Answer

A) True 
 B)False

Question 8

A vertical line drawn through a normal distribution at z = -0.75 will separate the distribution into two sections.The proportion in the smaller section is 0.2734.

Accepted Answer

A) True 
 B)False

Question 9

A normal distribution has a mean of µ = 80 with σ = 20.What score separates the highest 15% of the distribution from the rest of the scores?​

Accepted Answer

A) X = 59.2​ 
B) ​X = 100.8 
C) ​X = 95 
D) ​X = 65 
A) X = 59.2​ 
B) ​X = 100.8 
C) ​X = 95 
D) ​X = 65

Question 10

A normal distribution has a mean of µ = 100 with σ = 20.If one score is randomly selected from this distribution,what is the probability that the score will have a value between X = 90 and X = 110?​

Accepted Answer

A) 0.6915​ 
B) ​0.3085 
C) ​0.1915 
D) ​0.3830 
A) 0.6915​ 
B) ​0.3085 
C) ​0.1915 
D) ​0.3830

Question 11

A normal distribution has a mean of µ = 40 with σ = 10.What proportion of the scores in this distribution are greater than X = 55?​

Accepted Answer

A) ​0.3085 
B) ​0.6915 
C) ​0.0668 
D) ​0.9332 
A) ​0.3085 
B) ​0.6915 
C) ​0.0668 
D) ​0.9332

Question 12

For a binomial distribution,the probability of obtaining a score greater than 19 is computed as p(X > 19.5).

Accepted Answer

A) True 
 B)False

Question 13

A true/false test has 100 questions.Using the normal approximation to the binomial distribution,what is the probability of getting more than 55 correct by just guessing?​

Accepted Answer

A) ​p(X > 55) 
B) ​p(X > 55.5) 
C) ​p(X > 54.5) 
D) ​p(X > 45) 
A) ​p(X > 55) 
B) ​p(X > 55.5) 
C) ​p(X > 54.5) 
D) ​p(X > 45)

Question 14

For the normal approximation to the binomial distribution with n = 100 and p = 1/5,the probability of selecting a score greater than or equal to 25 is p = 0.1056.

Accepted Answer

A) True 
 B)False

Question 15

For a population with a mean of µ = 80 and σ = 10,only 2.28% of the scores are greater than X = 100.

Accepted Answer

A) True 
 B)False

Question 16

The binomial distribution for p = 1/2 and n = 100 has a standard deviation of σ = 25.

Accepted Answer

A) True 
 B)False

Question 17

For any normal distribution,the proportion located between the mean and z = 1.40 is 0.9192.

Accepted Answer

A) True 
 B)False

Question 18

All probabilities can be expressed as decimal values ranging from 0 to 1.00.

Accepted Answer

A) True 
 B)False

Question 19

A vertical line drawn through a normal distribution at z = 1.25 will separate the distribution into two sections.The proportion in the smaller section is 0.1056.

Accepted Answer

A) True 
 B)False

Question 20

For a normal distribution,the proportion located between z = -1.00 and z = +1.00 is p = 34.13%.

Accepted Answer

A) True 
 B)False

What is the probability of randomly selecting a z-score greater than z = 0.75 from a normal distribution?

A normal distribution has a mean of µ = 70 with σ = 12.If one score is randomly selected from this distribution,what is the probability that the score will be greater than X = 79?

For a normal distribution,the z-score boundary that separates the lowest 2.5% of the scores from the rest is z = -1.96.

If one score is randomly selected from a normal distribution with µ = 100 and σ = 20,the probability of obtaining a score less than X = 70 is p = 0.0013.

If one score is randomly selected from a normal distribution with µ = 100 and σ = 20,the probability of obtaining a score between X = 80 and X = 120 is p = 0.3413.

A vertical line drawn through a normal distribution at z = -0.75 will separate the distribution into two sections.The proportion in the smaller section is 0.2734.

A normal distribution has a mean of µ = 80 with σ = 20.What score separates the highest 15% of the distribution from the rest of the scores?

A normal distribution has a mean of µ = 100 with σ = 20.If one score is randomly selected from this distribution,what is the probability that the score will have a value between X = 90 and X = 110?

A normal distribution has a mean of µ = 40 with σ = 10.What proportion of the scores in this distribution are greater than X = 55?

For a binomial distribution,the probability of obtaining a score greater than 19 is computed as p(X > 19.5).

A true/false test has 100 questions.Using the normal approximation to the binomial distribution,what is the probability of getting more than 55 correct by just guessing?

For the normal approximation to the binomial distribution with n = 100 and p = 1/5,the probability of selecting a score greater than or equal to 25 is p = 0.1056.

For a population with a mean of µ = 80 and σ = 10,only 2.28% of the scores are greater than X = 100.

The binomial distribution for p = 1/2 and n = 100 has a standard deviation of σ = 25.

For any normal distribution,the proportion located between the mean and z = 1.40 is 0.9192.

All probabilities can be expressed as decimal values ranging from 0 to 1.00.

A vertical line drawn through a normal distribution at z = 1.25 will separate the distribution into two sections.The proportion in the smaller section is 0.1056.

For a normal distribution,the proportion located between z = -1.00 and z = +1.00 is p = 34.13%.

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores: Location of Scores and Standardized Distributions

Probability and Samples: the Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Analysis of Variance Anova

Two-Factor Analysis of Variance Independent Measures

Correlation

Introduction to Regression

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

The Binomial Test

Filters

Exam 6: Probability

What is the probability of randomly selecting a z-score greater than z = 0.75 from a normal distribution?​

A normal distribution has a mean of µ = 70 with σ = 12.If one score is randomly selected from this distribution,what is the probability that the score will be greater than X = 79?​

For a normal distribution,the z-score boundary that separates the lowest 2.5% of the scores from the rest is z = -1.96.

If one score is randomly selected from a normal distribution with µ = 100 and σ = 20,the probability of obtaining a score less than X = 70 is p = 0.0013.

If one score is randomly selected from a normal distribution with µ = 100 and σ = 20,the probability of obtaining a score between X = 80 and X = 120 is p = 0.3413.

A vertical line drawn through a normal distribution at z = -0.75 will separate the distribution into two sections.The proportion in the smaller section is 0.2734.

A normal distribution has a mean of µ = 80 with σ = 20.What score separates the highest 15% of the distribution from the rest of the scores?​

A normal distribution has a mean of µ = 100 with σ = 20.If one score is randomly selected from this distribution,what is the probability that the score will have a value between X = 90 and X = 110?​

A normal distribution has a mean of µ = 40 with σ = 10.What proportion of the scores in this distribution are greater than X = 55?​

For a binomial distribution,the probability of obtaining a score greater than 19 is computed as p(X > 19.5).

A true/false test has 100 questions.Using the normal approximation to the binomial distribution,what is the probability of getting more than 55 correct by just guessing?​

For the normal approximation to the binomial distribution with n = 100 and p = 1/5,the probability of selecting a score greater than or equal to 25 is p = 0.1056.

For a population with a mean of µ = 80 and σ = 10,only 2.28% of the scores are greater than X = 100.

The binomial distribution for p = 1/2 and n = 100 has a standard deviation of σ = 25.

For any normal distribution,the proportion located between the mean and z = 1.40 is 0.9192.

All probabilities can be expressed as decimal values ranging from 0 to 1.00.

A vertical line drawn through a normal distribution at z = 1.25 will separate the distribution into two sections.The proportion in the smaller section is 0.1056.

For a normal distribution,the proportion located between z = -1.00 and z = +1.00 is p = 34.13%.

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores: Location of Scores and Standardized Distributions

Probability and Samples: the Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Repeated-Measures Analysis of Variance Anova

Two-Factor Analysis of Variance Independent Measures

Correlation

Introduction to Regression

The Chi-Square Statistic: Tests for Goodness of Fit and Independence

The Binomial Test

Filters

What is the probability of randomly selecting a z-score greater than z = 0.75 from a normal distribution?

A normal distribution has a mean of µ = 70 with σ = 12.If one score is randomly selected from this distribution,what is the probability that the score will be greater than X = 79?

A normal distribution has a mean of µ = 80 with σ = 20.What score separates the highest 15% of the distribution from the rest of the scores?

A normal distribution has a mean of µ = 100 with σ = 20.If one score is randomly selected from this distribution,what is the probability that the score will have a value between X = 90 and X = 110?

A normal distribution has a mean of µ = 40 with σ = 10.What proportion of the scores in this distribution are greater than X = 55?

A true/false test has 100 questions.Using the normal approximation to the binomial distribution,what is the probability of getting more than 55 correct by just guessing?