Question 1

The probability that a randomly selected case will have a score beyond$\pm$1.00 standard deviation of the mean is

Accepted Answer

A) 0.6826. 
B) 0.5000. 
C) 0.3174. 
D) 1/2 of the area of 1 standard deviation. 
A) 0.6826. 
B) 0.5000. 
C) 0.3174. 
D) 1/2 of the area of 1 standard deviation.

Question 2

The area beyond$\pm$2 standard deviations contains approximately what % of the area under the normal curve?

Accepted Answer

A) 75% 
B) 50% 
C) 99% 
D) 5% 
A) 75% 
B) 50% 
C) 99% 
D) 5%

Question 3

When an empirical normal distribution of scores is standardized,

Accepted Answer

A) the mean will become 0. 
B) the standard deviation will become 1. 
C) each score will be converted to a Z score. 
D) all of the above 
A) the mean will become 0. 
B) the standard deviation will become 1. 
C) each score will be converted to a Z score. 
D) all of the above

Question 4

The Z score table gives the area between a score and the mean.For a Z score of -1.00,that area (in percentages)is

Accepted Answer

A) 34.13%. 
B) -34.13%. 
C) 68.26%. 
D) -68.26%. 
A) 34.13%. 
B) -34.13%. 
C) 68.26%. 
D) -68.26%.

Question 5

The area between the mean and a Z score of +1.50 is 43.32%.This score is higher than ____ of the scores in the distribution.

Accepted Answer

A) 43.32% 
B) 51.50% 
C) 57.68% 
D) 93.32% 
A) 43.32% 
B) 51.50% 
C) 57.68% 
D) 93.32%

Question 6

The average homicide rate for the cities and towns in a state is 10 per 100,000 population with a standard deviation of 2.If the variable is normally distributed,what is the probability that a randomly selected town will have a homicide rate greater than 8?

Accepted Answer

A) 0.34 
B) 0.68 
C) 0.84 
D) 0.01 
A) 0.34 
B) 0.68 
C) 0.84 
D) 0.01

Question 7

On all normal curves the area between the mean and$\pm$1 standard deviation will be

Accepted Answer

A) about 34% of the total areA. 
B) about 68% of the total area. 
C) 50% of the total area. 
D) 99.9% of the total area. 
A) about 34% of the total areA. 
B) about 68% of the total area. 
C) 50% of the total area. 
D) 99.9% of the total area.

Question 8

For the distribution of GPAs described in problem 1,what is the probability that a randomly selected student will have a GPA
 $\begin{array}{|l|l|l|l|l|}
\hline & & Z \text { score } & & \text { Probability } \
\hline \text { a. } & \text { less than } 3.40 ? & & & \
\hline \text { b. } & \text { less than } 3.78 ? & & & \
\hline \text { c. } & \text { more than } 3.50 ? & & & \
\hline \text { d. } & \text { more than } 2.50 ? & & & \
\hline \text { e. } & \text { between } 2.00 \text { and } 3.00 ? & & & \
\hline \text { f. } & \text { between } 3.00 \text { and } 3.50 ? & & & \
\hline\
\end{array}$

Accepted Answer

None

Question 9

Assuming a normal distribution of 1000 cases,how many cases will be within$\pm$1 standard deviations of the mean?

Accepted Answer

A) at least 500 
B) about 3 
C) about 680 
D) it's impossible to estimate 
A) at least 500 
B) about 3 
C) about 680 
D) it's impossible to estimate

Question 10

A Z score of -2.00 indicates a score that lies

Accepted Answer

A) two standard deviation units to the right of the mean. 
B) two standard deviation units to the left of the mean. 
C) 0.5 of one standard deviation unit on each side of the mean. 
D) any of the above are possible depending on the value of the mean. 
A) two standard deviation units to the right of the mean. 
B) two standard deviation units to the left of the mean. 
C) 0.5 of one standard deviation unit on each side of the mean. 
D) any of the above are possible depending on the value of the mean.

Question 11

The probability of getting a 1 in a single toss of a six-sided die would be

Accepted Answer

A) 2 to 1. 
B) 60 to 1. 
C) 1 in 6. 
D) impossible to estimate with the information given. 
A) 2 to 1. 
B) 60 to 1. 
C) 1 in 6. 
D) impossible to estimate with the information given.

Question 12

The Z scores of two tests scores are +1.2 and +1.5.To obtain the area between these scores

Accepted Answer

A) subtract the Z scores and find the area of the difference in the Z score table. 
B) find the area between each score and the mean in the Z score table and then subtract the smaller area from the larger area. 
C) find the area between each score and the mean in the Z score table and then subtract the difference between them from 100%. 
D) find the area beyond each score in the Z score table and subtract the difference between the areas from the mean. 
A) subtract the Z scores and find the area of the difference in the Z score table. 
B) find the area between each score and the mean in the Z score table and then subtract the smaller area from the larger area. 
C) find the area between each score and the mean in the Z score table and then subtract the difference between them from 100%. 
D) find the area beyond each score in the Z score table and subtract the difference between the areas from the mean.

Question 13

On all normal curves the area between the mean and +1 standard deviation will be

Accepted Answer

A) about 34% of the total areA. 
B) about 68% of the total area. 
C) about 95% of the total area. 
D) about 99% of the total area. 
A) about 34% of the total areA. 
B) about 68% of the total area. 
C) about 95% of the total area. 
D) about 99% of the total area.

Question 14

Column c in the normal curve table lists "areas beyond Z." This is the area

Accepted Answer

A) below a positive Z score. 
B) above a negative Z score. 
C) between two positive Z scores. 
D) above a positive Z score. 
A) below a positive Z score. 
B) above a negative Z score. 
C) between two positive Z scores. 
D) above a positive Z score.

Question 15

The average homicide rate for the cities and towns in a state is 10 per 100,000 population with a standard deviation of 2.If the variable is normally distributed,what is the probability that a randomly selected town will have a homicide rate greater than 14?

Accepted Answer

A) 0.34 
B) 0.68 
C) 0.50 
D) 0.02 
A) 0.34 
B) 0.68 
C) 0.50 
D) 0.02

Question 16

By definition,the normal curve is

Accepted Answer

A) symmetrical. 
B) positively skewed. 
C) negatively skewed. 
D) empirical. 
A) symmetrical. 
B) positively skewed. 
C) negatively skewed. 
D) empirical.

Question 17

The mean on a standardized test is 100 and the standard deviation is 35.Your score is 65.What percentage of the scores were higher than yours?

Accepted Answer

A) about 84% 
B) no more than 50% 
C) about 34% 
D) about 16% 
A) about 84% 
B) no more than 50% 
C) about 34% 
D) about 16%

Question 18

What is the probability that a randomly selected case from a normally distributed distribution will have a score between -1.00 and the mean?

Accepted Answer

A) 0.34 
B) 0.16 
C) 0.50 
D) 0.86 
A) 0.34 
B) 0.16 
C) 0.50 
D) 0.86

Question 19

As the standard deviation of a normal distribution increases,the percentage of the area between$\pm$1 standard deviation will

Accepted Answer

A) increase. 
B) stay the same. 
C) decrease. 
D) become non-symmetrical. 
A) increase. 
B) stay the same. 
C) decrease. 
D) become non-symmetrical.

Question 20

Assuming a normal distribution of 1000 cases,how many cases will be farther away from the mean than +3 standard deviations?

Accepted Answer

A) at least 500 
B) about 3 
C) 327 
D) it's impossible to estimate 
A) at least 500 
B) about 3 
C) 327 
D) it's impossible to estimate

The probability that a randomly selected case will have a score beyond $\pm$ 1.00 standard deviation of the mean is

The area beyond $\pm$ 2 standard deviations contains approximately what % of the area under the normal curve?

When an empirical normal distribution of scores is standardized,

The Z score table gives the area between a score and the mean.For a Z score of -1.00,that area (in percentages)is

The area between the mean and a Z score of +1.50 is 43.32%.This score is higher than ____ of the scores in the distribution.

The average homicide rate for the cities and towns in a state is 10 per 100,000 population with a standard deviation of 2.If the variable is normally distributed,what is the probability that a randomly selected town will have a homicide rate greater than 8?

On all normal curves the area between the mean and $\pm$ 1 standard deviation will be

For the distribution of GPAs described in problem 1,what is the probability that a randomly selected student will have a GPA Z score Probability a. less than 3.40? b. less than 3.78? c. more than 3.50? d. more than 2.50? e. between 2.00 and 3.00? f. between 3.00 and 3.50?

Assuming a normal distribution of 1000 cases,how many cases will be within $\pm$ 1 standard deviations of the mean?

A Z score of -2.00 indicates a score that lies

The probability of getting a 1 in a single toss of a six-sided die would be

The Z scores of two tests scores are +1.2 and +1.5.To obtain the area between these scores

On all normal curves the area between the mean and +1 standard deviation will be

Column c in the normal curve table lists "areas beyond Z." This is the area

The average homicide rate for the cities and towns in a state is 10 per 100,000 population with a standard deviation of 2.If the variable is normally distributed,what is the probability that a randomly selected town will have a homicide rate greater than 14?

By definition,the normal curve is

The mean on a standardized test is 100 and the standard deviation is 35.Your score is 65.What percentage of the scores were higher than yours?

What is the probability that a randomly selected case from a normally distributed distribution will have a score between -1.00 and the mean?

As the standard deviation of a normal distribution increases,the percentage of the area between $\pm$ 1 standard deviation will

Assuming a normal distribution of 1000 cases,how many cases will be farther away from the mean than +3 standard deviations?

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters

Exam 5: The Normal Curve

The probability that a randomly selected case will have a score beyond ±\pm± 1.00 standard deviation of the mean is

The area beyond ±\pm± 2 standard deviations contains approximately what % of the area under the normal curve?

When an empirical normal distribution of scores is standardized,

The Z score table gives the area between a score and the mean.For a Z score of -1.00,that area (in percentages)is

The area between the mean and a Z score of +1.50 is 43.32%.This score is higher than ____ of the scores in the distribution.

The average homicide rate for the cities and towns in a state is 10 per 100,000 population with a standard deviation of 2.If the variable is normally distributed,what is the probability that a randomly selected town will have a homicide rate greater than 8?

On all normal curves the area between the mean and ±\pm± 1 standard deviation will be

For the distribution of GPAs described in problem 1,what is the probability that a randomly selected student will have a GPA Z score Probability a. less than 3.40? b. less than 3.78? c. more than 3.50? d. more than 2.50? e. between 2.00 and 3.00? f. between 3.00 and 3.50?

Assuming a normal distribution of 1000 cases,how many cases will be within ±\pm± 1 standard deviations of the mean?

A Z score of -2.00 indicates a score that lies

The probability of getting a 1 in a single toss of a six-sided die would be

The Z scores of two tests scores are +1.2 and +1.5.To obtain the area between these scores

On all normal curves the area between the mean and +1 standard deviation will be

Column c in the normal curve table lists "areas beyond Z." This is the area

The average homicide rate for the cities and towns in a state is 10 per 100,000 population with a standard deviation of 2.If the variable is normally distributed,what is the probability that a randomly selected town will have a homicide rate greater than 14?

By definition,the normal curve is

The mean on a standardized test is 100 and the standard deviation is 35.Your score is 65.What percentage of the scores were higher than yours?

What is the probability that a randomly selected case from a normally distributed distribution will have a score between -1.00 and the mean?

As the standard deviation of a normal distribution increases,the percentage of the area between ±\pm± 1 standard deviation will

Assuming a normal distribution of 1000 cases,how many cases will be farther away from the mean than +3 standard deviations?

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Partial Correlation and Multiple Regression and Correlation

Filters

The probability that a randomly selected case will have a score beyond $\pm$ 1.00 standard deviation of the mean is

The area beyond $\pm$ 2 standard deviations contains approximately what % of the area under the normal curve?

On all normal curves the area between the mean and $\pm$ 1 standard deviation will be

Assuming a normal distribution of 1000 cases,how many cases will be within $\pm$ 1 standard deviations of the mean?

As the standard deviation of a normal distribution increases,the percentage of the area between $\pm$ 1 standard deviation will