Question 1

The Fahrenheit and Centigrade temperature scales are examples of measurement scales.

Accepted Answer

A) nominal 
B) ordinal 
C) ratio 
D) interval 
A) nominal 
B) ordinal 
C) ratio 
D) interval

Question 2

Variable A is measured on an interval scale with values that range from 0 to 10. Which of the following statements must be true?

Accepted Answer

A) The value 0 represents the complete absence of variable A. 
B) The value 8 represents twice the amount of variable A as does the value 4. 
C) The difference in the amount of A from 2 to 3 is the same as the difference from 6 to7. 
D) All the above statements are true. 
A) The value 0 represents the complete absence of variable A. 
B) The value 8 represents twice the amount of variable A as does the value 4. 
C) The difference in the amount of A from 2 to 3 is the same as the difference from 6 to7. 
D) All the above statements are true.

Question 3

The word is used to refer to sensory experience or observation.

Accepted Answer

A) solvable 
B) score 
C) intuitive 
D) empirical 
A) solvable 
B) score 
C) intuitive 
D) empirical

Question 4

Assigning numerical values to a variable with an arbitrary zero point is measurement.

Accepted Answer

A) interval 
B) nominal 
C) ordinal 
D) ratio 
A) interval 
B) nominal 
C) ordinal 
D) ratio

Question 5

A variable that can be measured only with a finite set of values is a variable.

Accepted Answer

A) discrete 
B) nondiscrete 
C) continuous 
D) discontinuous 
A) discrete 
B) nondiscrete 
C) continuous 
D) discontinuous

Question 6

The sixth place finisher of a marathon finished in a time of 156 minutes. The number 156 in this example represents measurement.

Accepted Answer

A) nominal 
B) ordinal 
C) interval 
D) ratio 
A) nominal 
B) ordinal 
C) interval 
D) ratio

Question 7

Which of the following would the IRB be looking for in a request by a researcher to use human subjects in an experiment.

Accepted Answer

A) Informed consent of the subject. 
B) Highest quality research. 
C) Good record keeping, including subjects' names. 
D) Absolutely no risk to the subject. 
A) Informed consent of the subject. 
B) Highest quality research. 
C) Good record keeping, including subjects' names. 
D) Absolutely no risk to the subject.

Question 8

Arranging characteristics of a variable along an ordered continuum from largest to smallest is an example of measurement.

Accepted Answer

A) interval 
B) nominal 
C) ordinal 
D) ratio 
A) interval 
B) nominal 
C) ordinal 
D) ratio

Question 9

You are asked to fill out a questionnaire indicating your preferences for types of food when you eat in a restaurant. The research method used here is called.

Accepted Answer

A) experimentation 
B) naturalistic observation 
C) survey research 
D) archival records research 
A) experimentation 
B) naturalistic observation 
C) survey research 
D) archival records research

Question 10

involves manipulating one or more independent variables in a carefully controlled situation.

Accepted Answer

A) Archival records 
B) Naturalistic observation research 
C) Experimentation 
D) Survey research 
A) Archival records 
B) Naturalistic observation research 
C) Experimentation 
D) Survey research

The Fahrenheit and Centigrade temperature scales are examples of measurement scales.

Variable A is measured on an interval scale with values that range from 0 to 10. Which of the following statements must be true?

The word is used to refer to sensory experience or observation.

Assigning numerical values to a variable with an arbitrary zero point is measurement.

A variable that can be measured only with a finite set of values is a variable.

The sixth place finisher of a marathon finished in a time of 156 minutes. The number 156 in this example represents measurement.

Which of the following would the IRB be looking for in a request by a researcher to use human subjects in an experiment.

Arranging characteristics of a variable along an ordered continuum from largest to smallest is an example of measurement.

You are asked to fill out a questionnaire indicating your preferences for types of food when you eat in a restaurant. The research method used here is called.

involves manipulating one or more independent variables in a carefully controlled situation.

Making Sense of Variability: an Introduction to Statistics

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

Exam 2: Statistics in the Context of Scientific Research

The Fahrenheit and Centigrade temperature scales are examples of measurement scales.

Variable A is measured on an interval scale with values that range from 0 to 10. Which of the following statements must be true?

The word is used to refer to sensory experience or observation.

Assigning numerical values to a variable with an arbitrary zero point is measurement.

A variable that can be measured only with a finite set of values is a variable.

The sixth place finisher of a marathon finished in a time of 156 minutes. The number 156 in this example represents measurement.

Which of the following would the IRB be looking for in a request by a researcher to use human subjects in an experiment.

Arranging characteristics of a variable along an ordered continuum from largest to smallest is an example of measurement.

You are asked to fill out a questionnaire indicating your preferences for types of food when you eat in a restaurant. The research method used here is called.

involves manipulating one or more independent variables in a carefully controlled situation.

Making Sense of Variability: an Introduction to Statistics

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

One-Factor Within-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters