Question 1

Scattergrams can be interpreted in terms of strength, course, and linearity.

Accepted Answer

A) True 
 B)False  False

Question 2

When there is a positive relationship between two variables, that means:

Accepted Answer

A)  As one variable increases, the other decreases. 
B)  As one variable increases, the other increases. 
C)  As one variable increased, the other increases and then decreases. 
D)  None of the above. 
A)  As one variable increases, the other decreases. 
B)  As one variable increases, the other increases. 
C)  As one variable increased, the other increases and then decreases. 
D)  None of the above. B

Question 3

Use a scattergram before calculating a correlation coefficient.

Accepted Answer

A) True 
 B)False  True

Question 4

Which variable should be displayed on the x-axis?

Accepted Answer

A)  Outcome variable 
B)  Predictor variable 
C)  Criterion variable 
D)  Participant variable 
A)  Outcome variable 
B)  Predictor variable 
C)  Criterion variable 
D)  Participant variable

Question 5

When variables share a curvilinear relationship, this relationship is also known as:

Accepted Answer

A)  Up and down 
B)  Positive 
C)  No relationship 
D)  Non-linear 
A)  Up and down 
B)  Positive 
C)  No relationship 
D)  Non-linear

Question 6

What are types of directional relationships in scattergrams?

Accepted Answer

A)  Positive 
B)  Negative 
C)  No relationship 
D)  Only A and B 
E)  All of the above 
A)  Positive 
B)  Negative 
C)  No relationship 
D)  Only A and B 
E)  All of the above

Question 7

A scattergram is a type of statistical figure.

Accepted Answer

A) True 
 B)False

Question 8

SPSS Statistics uses "Chart Builder…" to create scattergrams.

Accepted Answer

A) True 
 B)False

Question 9

A scattergram is also known as a:

Accepted Answer

A)  Scatterplot 
B)  Plot diagram 
C)  Scatter figure 
D)  None of the above 
A)  Scatterplot 
B)  Plot diagram 
C)  Scatter figure 
D)  None of the above

Question 10

In APA style, figure numbers and their captions are placed below figures.

Accepted Answer

A) True 
 B)False

Scattergrams can be interpreted in terms of strength, course, and linearity.

When there is a positive relationship between two variables, that means:

Use a scattergram before calculating a correlation coefficient.

Which variable should be displayed on the x-axis?

When variables share a curvilinear relationship, this relationship is also known as:

What are types of directional relationships in scattergrams?

A scattergram is a type of statistical figure.

SPSS Statistics uses "Chart Builder…" to create scattergrams.

A scattergram is also known as a:

In APA style, figure numbers and their captions are placed below figures.

Levels of Measurement in SPSS

Entering and Saving a Set of Scores Scale Variable

Frequency Distribution

Histogram

Frequency Polygon

Mean, Median, and Mode: One Group, Two Scale Variables

Mean and Standard Deviation: Two or More Groups, One Scale Variable

Z-Scores Standard Scores

Correlation Coefficients: The Pearson R and Spearmans RHO

Simple Linear Regression

The T-Test for a Single Sample Mean

Paired-Samples T-Test

Independent-Samples T-Test

One-Way ANOVA

Chi-Square Goodness-Of-Fit Test

Chi-Square Test of Independence

Filters

Exam 9: Scattergram

Scattergrams can be interpreted in terms of strength, course, and linearity.

When there is a positive relationship between two variables, that means:

Use a scattergram before calculating a correlation coefficient.

Which variable should be displayed on the x-axis?

When variables share a curvilinear relationship, this relationship is also known as:

What are types of directional relationships in scattergrams?

A scattergram is a type of statistical figure.

SPSS Statistics uses "Chart Builder…" to create scattergrams.

A scattergram is also known as a:

In APA style, figure numbers and their captions are placed below figures.

Levels of Measurement in SPSS

Entering and Saving a Set of Scores Scale Variable

Frequency Distribution

Histogram

Frequency Polygon

Mean, Median, and Mode: One Group, Two Scale Variables

Mean and Standard Deviation: Two or More Groups, One Scale Variable

Z-Scores Standard Scores

Correlation Coefficients: The Pearson R and Spearmans RHO

Simple Linear Regression

The T-Test for a Single Sample Mean

Paired-Samples T-Test

Independent-Samples T-Test

One-Way ANOVA

Chi-Square Goodness-Of-Fit Test

Chi-Square Test of Independence

Filters