Question 1

The percentage of scores in a distribution that occur at or below a given value is the _____ of that value.

Accepted Answer

A) relative percentage 
B) standard deviation 
C) percentile rank 
D) relative distribution 
A) relative percentage 
B) standard deviation 
C) percentile rank 
D) relative distribution

Question 2

In a normal distribution,over 99% of all scores fall between standard scores of -3 and +3.

Accepted Answer

A) True 
 B)False

Question 3

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows:
= 85,
S2 = 36.Approximately what percentage of scores falls at or between Nancy's and Ronald's scores?

Accepted Answer

A) 75% 
B) 35% 
C) 11% 
D) 50% 
A) 75% 
B) 35% 
C) 11% 
D) 50%

Question 4

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows:
= 85,
S2 = 36.What is Nancy's approximate percentile rank?

Accepted Answer

A) 59 
B) 30 
C) 41 
D) 80 
A) 59 
B) 30 
C) 41 
D) 80

Question 5

Percentiles are based on what scale of measurement?

Accepted Answer

A) Nominal 
B) Ordinal 
C) Ratio 
D) All of these 
A) Nominal 
B) Ordinal 
C) Ratio 
D) All of these

Question 6

A standard score of _____ indicates that the original score is equal to the mean.

Accepted Answer

A) 0 
B) +1.00 
C) -1.00 
D) 1.96 
A) 0 
B) +1.00 
C) -1.00 
D) 1.96

Question 7

Standard scores include the mean and Standard deviation of the distribution.

Accepted Answer

A) True 
 B)False

Question 8

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows:
= 85,s2 = 36.What is Nancy's z score?

Accepted Answer

A) .14 
B) -.14 
C) .83 
D) -.83 
A) .14 
B) -.14 
C) .83 
D) -.83

Question 9

List four characteristics shared by all normal distributions.

Accepted Answer

All normal distributions are symmetrical

Question 10

T scores are directly analogous to standard scores,but instead of having a mean of 0 and a standard deviation of 1.00,they have a mean of 50.00 and a standard deviation of 10.00.

Accepted Answer

A) True 
 B)False

Question 11

A standard score or Z-score of zero means____________________.

Accepted Answer

you scored

Question 12

All normal distributions are:

Accepted Answer

A) asymmetrical about the mean 
B) characterized by a "bell shape" 
C) positively skewed 
D) a and b 
A) asymmetrical about the mean 
B) characterized by a "bell shape" 
C) positively skewed 
D) a and b

Question 13

A z score converts the raw score to a form that takes into consideration its standing relative to the _____ and _____ of the entire distribution of scores.

Accepted Answer

A) median;standard deviation 
B) mean;standard deviation 
C) mean;variance 
D) median;interquartile range 
A) median;standard deviation 
B) mean;standard deviation 
C) mean;variance 
D) median;interquartile range

Question 14

The sum of a set of standard scores for a distribution will _____ equal 0.

Accepted Answer

A) always 
B) never 
C) sometimes 
D) cannot be determined 
A) always 
B) never 
C) sometimes 
D) cannot be determined

Question 15

A z score of _____ represents a raw score with a higher frequency than a standard score of _____.

Accepted Answer

A) -2.0;1.5 
B) 3.0;-.75 
C) 1.65;1.50 
D) -.50;2.2 
A) -2.0;1.5 
B) 3.0;-.75 
C) 1.65;1.50 
D) -.50;2.2

Question 16

Suppose an approximately normal distribution of doctors' salaries finds µ = $150,000 and ó = $25,000.What salary level would define the 77th percentile?

Accepted Answer

A) $180,000 
B) $168,000 
C) $175,000 
D) $158,250 
A) $180,000 
B) $168,000 
C) $175,000 
D) $158,250

Question 17

A psychologist is interested in how well people can remember words that they had previously seen.He gives them a list of 70 words,but does not tell them they will be tested later.One week later the students are given a list of 140 words,and told to choose the ones they had seen the previous week.Below is the grouped distribution of the number of words remembered by the subjects.
What is the percentile rank of a score of 12?

Accepted Answer

A) 5 
B) 15 
C) 25 
D) 50 
A) 5 
B) 15 
C) 25 
D) 50

Question 18

If you wanted to compare the number of hours you sleep with the national average you would have to convert it into____________________.

Accepted Answer

The answer of If you wanted to compare the number...

Question 19

Based on the Applications to the Analysis of Social Problems section of Chapter 4,the formula referred to in question 1 above would most likely be used with

Accepted Answer

A) a normal distribution. 
B) a positively skewed distribution. 
C) a negatively skewed distribution. 
D) both a and b 
E) both b and c 
A) a normal distribution. 
B) a positively skewed distribution. 
C) a negatively skewed distribution. 
D) both a and b 
E) both b and c

Question 20

Given a normal distribution,what z score would correspond to the 50th percentile?

Accepted Answer

A) +1 
B) -1 
C) 0 
D) +.5 
A) +1 
B) -1 
C) 0 
D) +.5

The percentage of scores in a distribution that occur at or below a given value is the _____ of that value.

In a normal distribution,over 99% of all scores fall between standard scores of -3 and +3.

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows: = 85, S² = 36.Approximately what percentage of scores falls at or between Nancy's and Ronald's scores?

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows: = 85, S² = 36.What is Nancy's approximate percentile rank?

Percentiles are based on what scale of measurement?

A standard score of _____ indicates that the original score is equal to the mean.

Standard scores include the mean and Standard deviation of the distribution.

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows: = 85,s² = 36.What is Nancy's z score?

List four characteristics shared by all normal distributions.

T scores are directly analogous to standard scores,but instead of having a mean of 0 and a standard deviation of 1.00,they have a mean of 50.00 and a standard deviation of 10.00.

A standard score or Z-score of zero means____________________.

All normal distributions are:

A z score converts the raw score to a form that takes into consideration its standing relative to the _ and _ of the entire distribution of scores.

The sum of a set of standard scores for a distribution will _____ equal 0.

A z score of _ represents a raw score with a higher frequency than a standard score of _.

Suppose an approximately normal distribution of doctors' salaries finds µ = $150,000 and ó = $25,000.What salary level would define the 77th percentile?

If you wanted to compare the number of hours you sleep with the national average you would have to convert it into____________________.

Based on the Applications to the Analysis of Social Problems section of Chapter 4,the formula referred to in question 1 above would most likely be used with

Given a normal distribution,what z score would correspond to the 50th percentile?

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Pearson Correlation and Regression: Descriptive Aspects

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T-Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 4: Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

The percentage of scores in a distribution that occur at or below a given value is the _____ of that value.

In a normal distribution,over 99% of all scores fall between standard scores of -3 and +3.

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows: = 85, S2 = 36.Approximately what percentage of scores falls at or between Nancy's and Ronald's scores?

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows: = 85, S2 = 36.What is Nancy's approximate percentile rank?

Percentiles are based on what scale of measurement?

A standard score of _____ indicates that the original score is equal to the mean.

Standard scores include the mean and Standard deviation of the distribution.

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows: = 85,s2 = 36.What is Nancy's z score?

List four characteristics shared by all normal distributions.

T scores are directly analogous to standard scores,but instead of having a mean of 0 and a standard deviation of 1.00,they have a mean of 50.00 and a standard deviation of 10.00.

A standard score or Z-score of zero means____________________.

All normal distributions are:

A z score converts the raw score to a form that takes into consideration its standing relative to the _____ and _____ of the entire distribution of scores.

The sum of a set of standard scores for a distribution will _____ equal 0.

A z score of _____ represents a raw score with a higher frequency than a standard score of _____.

Suppose an approximately normal distribution of doctors' salaries finds µ = $150,000 and ó = $25,000.What salary level would define the 77th percentile?

If you wanted to compare the number of hours you sleep with the national average you would have to convert it into____________________.

Based on the Applications to the Analysis of Social Problems section of Chapter 4,the formula referred to in question 1 above would most likely be used with

Given a normal distribution,what z score would correspond to the 50th percentile?

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Pearson Correlation and Regression: Descriptive Aspects

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T-Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows: = 85, S² = 36.Approximately what percentage of scores falls at or between Nancy's and Ronald's scores?

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows: = 85, S² = 36.What is Nancy's approximate percentile rank?

An instructor has given his final exam,and scores are approximately normally distributed.Nancy scores a 90 and Ronald scores a 75.The characteristics of the distribution are as follows: = 85,s² = 36.What is Nancy's z score?

A z score converts the raw score to a form that takes into consideration its standing relative to the _ and _ of the entire distribution of scores.

A z score of _ represents a raw score with a higher frequency than a standard score of _.