Question 1

For a normal distribution, the proportion in the tail beyond z = -2.00 is equal to 0.0228.

Accepted Answer

A) True 
 B)False

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

A vertical line drawn through a normal distribution at z = -0.80 will separate the distribution into two sections.The proportion in the larger section is 7881.

Accepted Answer

A) True 
 B)False

Question 4

A binomial distribution with p = 2/3 and n = 24, meets the criterion for using the normal approximation.
65 The binomial distribution for p = ¼ and n = 96 has a mean of μ = 24.

Accepted Answer

A) True 
 B)False

Question 5

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 less than X = 55?

Accepted Answer

A) 0.3944 
B) 0.1056 
C) 0.8944 
D) 0.7888 
A) 0.3944 
B) 0.1056 
C) 0.8944 
D) 0.7888

Question 6

What proportion of a normal distribution is located between the mean and z = 1.40?

Accepted Answer

A) 0.9192 
B) 0.0808 
C) 0.4192 
D) 0.8384 
A) 0.9192 
B) 0.0808 
C) 0.4192 
D) 0.8384

Question 7

A vertical line is drawn through a normal distribution at z = 1.20.What proportion of the distribution is on the left-hand side of the line?

Accepted Answer

A) 0.8849 
B) 0.1151 
C) 0.3849 
D) 0.7698 
A) 0.8849 
B) 0.1151 
C) 0.3849 
D) 0.7698

Question 8

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 9

For a binomial distribution with p = q = ½ and n = 36, what is the mean for the normal approximation?

Accepted Answer

A) 3 
B) 9 
C) 16 
D) 18 
A) 3 
B) 9 
C) 16 
D) 18

Question 10

A jar contains 10 red marbles and 20 blue marbles.If you take a random sample of two marbles from this jar and the first marble is blue, then the probability that the second marble is blue is p = 19/29.

Accepted Answer

A) True 
 B)False

Question 11

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 = 95 is p = 0.4013.

Accepted Answer

A) True 
 B)False

Question 12

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

Question 13

What z-score value separates the top 70% of a normal distribution from the bottom 30%?

Accepted Answer

A) z = 0.52 
B) z = 0.84 
C) z = -0.52 
D) z = -0.84 
A) z = 0.52 
B) z = 0.84 
C) z = -0.52 
D) z = -0.84

Question 14

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 15

A normal distribution has a mean of µ = 40 with σ = 10.What proportion of the scores in this distribution are smaller than X = 35?

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 16

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

Accepted Answer

A) True 
 B)False

Question 17

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 18

Scores on the SAT form a normal distribution with a mean of µ = 500 with σ = 100.If the state college only accepts students who score in the top 60% on the SAT, what is the minimum score needed to be accepted?

Accepted Answer

A) X = 475 
B) X = 525 
C) X = 440 
D) X = 560 
A) X = 475 
B) X = 525 
C) X = 440 
D) X = 560

Question 19

Under what circumstances does the binomial distribution approximate a normal distribution?

Accepted Answer

A) when pn > 10 
B) when qn > 10 
C) when pn and qn are both > 10 
D) when npq > 10 
A) when pn > 10 
B) when qn > 10 
C) when pn and qn are both > 10 
D) when npq > 10

Question 20

For a normal distribution with µ = 80 and σ = 10 the score that separates the bottom 10% of the distribution from the rest is 67.2

Accepted Answer

A) True 
 B)False

For a normal distribution, the proportion in the tail beyond z = -2.00 is equal to 0.0228.

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 vertical line drawn through a normal distribution at z = -0.80 will separate the distribution into two sections.The proportion in the larger section is 7881.

A binomial distribution with p = 2/3 and n = 24, meets the criterion for using the normal approximation. 65 The binomial distribution for p = ¼ and n = 96 has a mean of μ = 24.

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 less than X = 55?

What proportion of a normal distribution is located between the mean and z = 1.40?

A vertical line is drawn through a normal distribution at z = 1.20.What proportion of the distribution is on the left-hand side of the line?

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 with p = q = ½ and n = 36, what is the mean for the normal approximation?

A jar contains 10 red marbles and 20 blue marbles.If you take a random sample of two marbles from this jar and the first marble is blue, then the probability that the second marble is blue is p = 19/29.

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 = 95 is p = 0.4013.

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

What z-score value separates the top 70% of a normal distribution from the bottom 30%?

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

A normal distribution has a mean of µ = 40 with σ = 10.What proportion of the scores in this distribution are smaller than X = 35?

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

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

Scores on the SAT form a normal distribution with a mean of µ = 500 with σ = 100.If the state college only accepts students who score in the top 60% on the SAT, what is the minimum score needed to be accepted?

Under what circumstances does the binomial distribution approximate a normal distribution?

For a normal distribution with µ = 80 and σ = 10 the score that separates the bottom 10% of the distribution from the rest is 67.2

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

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 Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

Exam 6: Probability

For a normal distribution, the proportion in the tail beyond z = -2.00 is equal to 0.0228.

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 vertical line drawn through a normal distribution at z = -0.80 will separate the distribution into two sections.The proportion in the larger section is 7881.

A binomial distribution with p = 2/3 and n = 24, meets the criterion for using the normal approximation. 65 The binomial distribution for p = ¼ and n = 96 has a mean of μ = 24.

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 less than X = 55?

What proportion of a normal distribution is located between the mean and z = 1.40?

A vertical line is drawn through a normal distribution at z = 1.20.What proportion of the distribution is on the left-hand side of the line?

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 with p = q = ½ and n = 36, what is the mean for the normal approximation?

A jar contains 10 red marbles and 20 blue marbles.If you take a random sample of two marbles from this jar and the first marble is blue, then the probability that the second marble is blue is p = 19/29.

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 = 95 is p = 0.4013.

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

What z-score value separates the top 70% of a normal distribution from the bottom 30%?

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

A normal distribution has a mean of µ = 40 with σ = 10.What proportion of the scores in this distribution are smaller than X = 35?

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

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

Scores on the SAT form a normal distribution with a mean of µ = 500 with σ = 100.If the state college only accepts students who score in the top 60% on the SAT, what is the minimum score needed to be accepted?

Under what circumstances does the binomial distribution approximate a normal distribution?

For a normal distribution with µ = 80 and σ = 10 the score that separates the bottom 10% of the distribution from the rest is 67.2

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

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 Anova

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters