Question 1

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 2

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 3

If a case is randomly selected from a normal distribution, the score of the case will most likely be

Accepted Answer

A)  equal to the mean in value 
B)  close to the mean in value 
C)  at least 1 standard deviation above the mean 
D)  at least 1 standard deviation below the mean 
A)  equal to the mean in value 
B)  close to the mean in value 
C)  at least 1 standard deviation above the mean 
D)  at least 1 standard deviation below the mean

Question 4

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

Accepted Answer

A)  No more than 500 
B)  about 3 
C)  about 680 
D)  it's impossible to estimate because all normal curves are different 
A)  No more than 500 
B)  about 3 
C)  about 680 
D)  it's impossible to estimate because all normal curves are different

Question 5

If a Z score is + 1.00, then the value of the corresponding raw score would be

Accepted Answer

A)  0 
B)  the same as the mean of the empirical distribution 
C)  equal to the mean of the empirical distribution plus one standard deviation 
D)  probably a negative number 
A)  0 
B)  the same as the mean of the empirical distribution 
C)  equal to the mean of the empirical distribution plus one standard deviation 
D)  probably a negative number

Question 6

The area beyond ± 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 7

A social researcher has constructed a measure of racial prejudice and obtained a distribution of scores on this measure from a randomly selected sample of public office holders. The scores were normally distributed with a mean of 45 and a standard deviation of 7. What is the probability that a randomly selected case from the sample will have a score less than 38?

Accepted Answer

A)  0.4526 
B)  0.5018 
C)  0.5200 
D)  0.1587 
A)  0.4526 
B)  0.5018 
C)  0.5200 
D)  0.1587

Question 8

The standardized normal distribution (or Z distribution) has

Accepted Answer

A)  a mean of 0 and a standard deviation of 1 
B)  a mean of 1 and a standard deviation of 0 
C)  a mean equal to the average of the scores and a standard deviation equal to the mean 
D)  a mean of 1 and a standard deviation of 1 
A)  a mean of 0 and a standard deviation of 1 
B)  a mean of 1 and a standard deviation of 0 
C)  a mean equal to the average of the scores and a standard deviation equal to the mean 
D)  a mean of 1 and a standard deviation of 1

Question 9

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 10

On all normal curves the area between the mean and ± 2 standard deviations will be

Accepted Answer

A)  about 34% of the total area 
B)  about 95% of the total area 
C)  less than 50% of the total area 
D)  about 68% of the total area 
A)  about 34% of the total area 
B)  about 95% of the total area 
C)  less than 50% of the total area 
D)  about 68% of the total area

Question 11

The text discusses an application of probability theory that involved

Accepted Answer

A)  betting on horse races 
B)  casino gambling 
C)  cheating on final exams 
D)  betting on the outcome of the presidential election 
A)  betting on horse races 
B)  casino gambling 
C)  cheating on final exams 
D)  betting on the outcome of the presidential election

Question 12

To find the area above a positive Z score or below a negative Z score you would

Accepted Answer

A)  subtract the value of the Z score from the mean 
B)  use the "Area Beyond Z" column of the Z score table 
C)  add the value of the Z score to the area beyond the mean 
D)  add the area between the Z score and the mean to 100% 
A)  subtract the value of the Z score from the mean 
B)  use the "Area Beyond Z" column of the Z score table 
C)  add the value of the Z score to the area beyond the mean 
D)  add the area between the Z score and the mean to 100%

Question 13

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

Accepted Answer

A)  43.32% 
B)  6.68% 
C)  3.32% 
D)  93.32% 
A)  43.32% 
B)  6.68% 
C)  3.32% 
D)  93.32%

Question 14

If a Z score is 0, then the value of the corresponding raw score would be

Accepted Answer

A)  0 
B)  the same as the mean of the empirical distribution 
C)  the same as the standard deviation of the empirical distribution 
D)  probably a negative number 
A)  0 
B)  the same as the mean of the empirical distribution 
C)  the same as the standard deviation of the empirical distribution 
D)  probably a negative number

Question 15

The Z scores of two test scores are - 1.17 and + 2.38. To find the total area between these two scores

Accepted Answer

A)  add the column b areas together 
B)  subtract each score from the mean and divide the result by the standard deviation 
C)  add the column b area to the column c area 
D)  add the column c areas 
A)  add the column b areas together 
B)  subtract each score from the mean and divide the result by the standard deviation 
C)  add the column b area to the column c area 
D)  add the column c areas

Question 16

The probability that a randomly selected case will have a score beyond ± 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 17

To obtain the area below a positive Z score or above a negative Z score you would

Accepted Answer

A)  subtract the value of the Z score from the mean 
B)  subtract the area in the "Area Beyond Z" column of the Z score table from 50% 
C)  add the value of the Z score to the area beyond the mean 
D)  add the area between the Z score and the mean to 50% 
A)  subtract the value of the Z score from the mean 
B)  subtract the area in the "Area Beyond Z" column of the Z score table from 50% 
C)  add the value of the Z score to the area beyond the mean 
D)  add the area between the Z score and the mean to 50%

Question 18

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)  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 19

A defining characteristic of the normal curve is that it is

Accepted Answer

A)  theoretical 
B)  positively skewed 
C)  negatively skewed 
D)  perfectly non-symmetrical 
A)  theoretical 
B)  positively skewed 
C)  negatively skewed 
D)  perfectly non-symmetrical

Question 20

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

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

If a case is randomly selected from a normal distribution, the score of the case will most likely be

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

If a Z score is + 1.00, then the value of the corresponding raw score would be

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

The standardized normal distribution (or Z distribution) has

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

On all normal curves the area between the mean and ± 2 standard deviations will be

The text discusses an application of probability theory that involved

To find the area above a positive Z score or below a negative Z score you would

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

If a Z score is 0, then the value of the corresponding raw score would be

The Z scores of two test scores are - 1.17 and + 2.38. To find the total area between these two scores

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

To obtain the area below a positive Z score or above a negative Z score you would

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

A defining characteristic of the normal curve is that it is

By definition, the normal curve is

Introduction

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

Measures of Central Tendency

Measures of Dispersion

Introduction to Inferential Statistics Sampling the Sampling Distribution

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 for Nominal- and Ordinal-Level Variables

Association Between Variables Measured at the Interval-Ratio Level

Partial Correlation and

Filters

Exam 5: The Normal Curve

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

If a case is randomly selected from a normal distribution, the score of the case will most likely be

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

If a Z score is + 1.00, then the value of the corresponding raw score would be

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

The standardized normal distribution (or Z distribution) has

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

On all normal curves the area between the mean and ± 2 standard deviations will be

The text discusses an application of probability theory that involved

To find the area above a positive Z score or below a negative Z score you would

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

If a Z score is 0, then the value of the corresponding raw score would be

The Z scores of two test scores are - 1.17 and + 2.38. To find the total area between these two scores

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

To obtain the area below a positive Z score or above a negative Z score you would

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

A defining characteristic of the normal curve is that it is

By definition, the normal curve is

Introduction

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

Measures of Central Tendency

Measures of Dispersion

Introduction to Inferential Statistics Sampling the Sampling Distribution

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 for Nominal- and Ordinal-Level Variables

Association Between Variables Measured at the Interval-Ratio Level

Partial Correlation and

Filters