Question 1

Draw a bar graph for the following frequency distribution.
Score f 
Red 2
Blue 5
Green 4
Orange 3

Accepted Answer

The answer of Draw a bar graph for the following...

Question 2

The distinguishing characteristic of an idealized bimodal distribution is

Accepted Answer

A) all the scores are the same. 
B) all the frequencies are the same. 
C) two scores have the same and the highest frequency. 
D) it is always symmetrical. 
A) all the scores are the same. 
B) all the frequencies are the same. 
C) two scores have the same and the highest frequency. 
D) it is always symmetrical.

Question 3

In a normal distribution, if 5% of the scores are greater than 80, what percentage of the scores are between the mean and 80?

Accepted Answer

The answer of In a normal distribution, if 5% of...

Question 4

If a score appears 20 times in a sample of 80 scores, what is its relative frequency?

Accepted Answer

A) .25 
B) 4 
C) 20 
D) .20 
A) .25 
B) 4 
C) 20 
D) .20

Question 5

One benefit to using a frequency distribution table or graph is it makes it easier to

Accepted Answer

A) see the raw scores. 
B) identify the variables. 
C) see a relationship hidden in the data. 
D) determine the sample size. 
A) see the raw scores. 
B) identify the variables. 
C) see a relationship hidden in the data. 
D) determine the sample size.

Question 6

Suppose the scores between 20 and 40 have a relatively frequency of .30.What area under the normal curve do these scores constitute?

Accepted Answer

The answer of Suppose the scores between 20 and 40...

Question 7

For a given set of data, would it be possible to have the following relative frequencies: .45, .33, .22., .18, .29? Why or why not?

Accepted Answer

No, this would not be possible

Question 8

________distributions contain low-frequency, extreme low scores without low-frequency extreme high scores.

Accepted Answer

A) Negatively skewed 
B) Positively skewed 
C) Bimodal 
D) Normal 
A) Negatively skewed 
B) Positively skewed 
C) Bimodal 
D) Normal

Question 9

Use the following data set to construct a frequency distribution table showing a) frequency, b) relative frequency, and c) percent.
21, 21, 20, 20, 19, 17, 17, 16, 16, 16, 16, 14

Accepted Answer

The answer of Use the following data set to construct...

Question 10

The relative frequency of a score must be

Accepted Answer

A) a value between 0 and 100. 
B) represented using a histogram chart. 
C) a value equal to or greater than the score's frequency. 
D) a value between 0 and 1. 
A) a value between 0 and 100. 
B) represented using a histogram chart. 
C) a value equal to or greater than the score's frequency. 
D) a value between 0 and 1.

Question 11

Suppose in a normal distribution, where the mean is 50, you have a score of 4.Where in the distribution would this score fall?

Accepted Answer

A score of 4 would f

Question 12

In statistical notation, f stands for the

Accepted Answer

A) number of times a given score occurs in a sample. 
B) total number of scores in a data set. 
C) relative frequency of a given score. 
D) cumulative frequency of a given score. 
A) number of times a given score occurs in a sample. 
B) total number of scores in a data set. 
C) relative frequency of a given score. 
D) cumulative frequency of a given score.

Question 13

If in a grouped distribution, the frequency for the "5-10" group was 7, what should the frequency of a score of "5" be?

Accepted Answer

Because a grouped frequency re

Question 14

What is wrong in the following table? 
Score f

Accepted Answer

A) The scores and the frequencies must be reversed. 
B) The relative frequencies are reported in the f column. 
C) Not all possible scores between the highest and lowest observed scores are reported. 
D) Nothing is wrong. 
A) The scores and the frequencies must be reversed. 
B) The relative frequencies are reported in the f column. 
C) Not all possible scores between the highest and lowest observed scores are reported. 
D) Nothing is wrong.

Question 15

What is the percent for the score "7" in the following distribution?

Accepted Answer

A) .22 
B) 5 
C) 22 
D) 30 
A) .22 
B) 5 
C) 22 
D) 30

Draw a bar graph for the following frequency distribution. Score f Red 2 Blue 5 Green 4 Orange 3

The distinguishing characteristic of an idealized bimodal distribution is

In a normal distribution, if 5% of the scores are greater than 80, what percentage of the scores are between the mean and 80?

If a score appears 20 times in a sample of 80 scores, what is its relative frequency?

One benefit to using a frequency distribution table or graph is it makes it easier to

Suppose the scores between 20 and 40 have a relatively frequency of .30.What area under the normal curve do these scores constitute?

For a given set of data, would it be possible to have the following relative frequencies: .45, .33, .22., .18, .29? Why or why not?

________distributions contain low-frequency, extreme low scores without low-frequency extreme high scores.

Use the following data set to construct a frequency distribution table showing a) frequency, b) relative frequency, and c) percent. 21, 21, 20, 20, 19, 17, 17, 16, 16, 16, 16, 14

The relative frequency of a score must be

Suppose in a normal distribution, where the mean is 50, you have a score of 4.Where in the distribution would this score fall?

In statistical notation, f stands for the

If in a grouped distribution, the frequency for the "5-10" group was 7, what should the frequency of a score of "5" be?

What is wrong in the following table? Score f

What is the percent for the score "7" in the following distribution?

Introduction to Statistics and Research

Summarizing Scores With Measures of Central Tendency

Summarizing Scores With Measures of Variability

Describing Data With Z-Scores and the Normal Curve

Using Probability to Make Decisions About Data

Overview of Statistical Hypothesis Testing: the Z-Test

Hypothesis Testing Using the One-Sample T-Test

Hypothesis Testing Using the Two-Sample T-Test

Describing Relationships Using Correlation and Regression

Hypothesis Testing Using the One-Way Analysis of Variance

Understanding the Two-Way Analysis of Variance

Chi Square and Nonparametric Procedures

Filters

Exam 2: Creating and Using Frequency Distributions

Draw a bar graph for the following frequency distribution. Score f Red 2 Blue 5 Green 4 Orange 3

The distinguishing characteristic of an idealized bimodal distribution is

In a normal distribution, if 5% of the scores are greater than 80, what percentage of the scores are between the mean and 80?

If a score appears 20 times in a sample of 80 scores, what is its relative frequency?

One benefit to using a frequency distribution table or graph is it makes it easier to

Suppose the scores between 20 and 40 have a relatively frequency of .30.What area under the normal curve do these scores constitute?

For a given set of data, would it be possible to have the following relative frequencies: .45, .33, .22., .18, .29? Why or why not?

________distributions contain low-frequency, extreme low scores without low-frequency extreme high scores.

Use the following data set to construct a frequency distribution table showing a) frequency, b) relative frequency, and c) percent. 21, 21, 20, 20, 19, 17, 17, 16, 16, 16, 16, 14

The relative frequency of a score must be

Suppose in a normal distribution, where the mean is 50, you have a score of 4.Where in the distribution would this score fall?

In statistical notation, f stands for the

If in a grouped distribution, the frequency for the "5-10" group was 7, what should the frequency of a score of "5" be?

What is wrong in the following table? Score f

What is the percent for the score "7" in the following distribution?

Introduction to Statistics and Research

Summarizing Scores With Measures of Central Tendency

Summarizing Scores With Measures of Variability

Describing Data With Z-Scores and the Normal Curve

Using Probability to Make Decisions About Data

Overview of Statistical Hypothesis Testing: the Z-Test

Hypothesis Testing Using the One-Sample T-Test

Hypothesis Testing Using the Two-Sample T-Test

Describing Relationships Using Correlation and Regression

Hypothesis Testing Using the One-Way Analysis of Variance

Understanding the Two-Way Analysis of Variance

Chi Square and Nonparametric Procedures

Filters