Question 1

Not all numbers can be treated equally because

Accepted Answer

A)  some statistics require more information than others 
B)  a "2" is different from a "3" 
C)  the size of the number makes a difference 
D)  there are different ways of measuring variables 
A)  some statistics require more information than others 
B)  a "2" is different from a "3" 
C)  the size of the number makes a difference 
D)  there are different ways of measuring variables D

Question 2

The concept of magnitude is found in which of the levels of measurement below?

Accepted Answer

A)  nominal 
B)  ordinal 
C)  ratio 
D)  a and b above 
A)  nominal 
B)  ordinal 
C)  ratio 
D)  a and b above C

Question 3

Numbers can be added if they are at least

Accepted Answer

A)  ordinal level 
B)  nominal level 
C)  interval level 
D)  metric ordinal level 
A)  ordinal level 
B)  nominal level 
C)  interval level 
D)  metric ordinal level C

Question 4

The ordinal level of measurement is represented in which variable below?

Accepted Answer

A)  fear of crime 
B)  temperature 
C)  income 
D)  gender 
A)  fear of crime 
B)  temperature 
C)  income 
D)  gender

Question 5

It is better to treat metric ordinal data as interval data because there is less error.

Accepted Answer

A) True 
 B)False

Question 6

Variables are the way we measure concepts.

Accepted Answer

A) True 
 B)False

Question 7

Measurement is

Accepted Answer

A)  any time numbers are used 
B)  the use of numbers to represent concepts 
C)  the primary concern of statistical power 
D)  all of the above 
A)  any time numbers are used 
B)  the use of numbers to represent concepts 
C)  the primary concern of statistical power 
D)  all of the above

Question 8

The greatest error in treating data at one level as if it were at another is when

Accepted Answer

A)  ordinal is used as interval 
B)  nominal is used as ordinal 
C)  ratio is used as interval 
D)  nominal is used as interval 
A)  ordinal is used as interval 
B)  nominal is used as ordinal 
C)  ratio is used as interval 
D)  nominal is used as interval

Question 9

Levels of measurement refers to:

Accepted Answer

A)  the stair-like process involved in measuring 
B)  the essence of what numbers mean 
C)  the use of variance to determine error in numbers 
D)  the difficulty involved in measuring 
A)  the stair-like process involved in measuring 
B)  the essence of what numbers mean 
C)  the use of variance to determine error in numbers 
D)  the difficulty involved in measuring

Question 10

The concept of metric ordinal is useful because

Accepted Answer

A)  its metric quality means that it is more useful worldwide as opposed to the English/American system of measuring in inches and ounces 
B)  there is little error involved in treating it as if it were interval level 
C)  it adds information to data used with nominal-level statistics 
D)  all of the above 
A)  its metric quality means that it is more useful worldwide as opposed to the English/American system of measuring in inches and ounces 
B)  there is little error involved in treating it as if it were interval level 
C)  it adds information to data used with nominal-level statistics 
D)  all of the above

Question 11

A statistic designed for the interval level can also use ratio level data.

Accepted Answer

A) True 
 B)False

Question 12

Ratio level measurement provides estimates of the relative size of numbers.

Accepted Answer

A) True 
 B)False

Question 13

Very few important variables are measured at the nominal level.

Accepted Answer

A) True 
 B)False

Question 14

Crime rates can only be measured at the interval level.

Accepted Answer

A) True 
 B)False

Question 15

Ratio level of measurement is the only level to have:

Accepted Answer

A)  an indicator of magnitude 
B)  arithmetic manipulation 
C)  exhaustive categorization 
D)  absolute zero 
A)  an indicator of magnitude 
B)  arithmetic manipulation 
C)  exhaustive categorization 
D)  absolute zero

Question 16

The current verison, or concept, of levels of measurement was created in the

Accepted Answer

A)  1940s 
B)  1980s 
C)  late 1990s 
D)  none of the above 
A)  1940s 
B)  1980s 
C)  late 1990s 
D)  none of the above

Question 17

Numbers all mean the same thing.

Accepted Answer

A) True 
 B)False

Question 18

Adding ordinal categories together only causes a problem when you try to divide the result.

Accepted Answer

A) True 
 B)False

Question 19

Level of measurement is inherent in concepts.

Accepted Answer

A) True 
 B)False

Question 20

Which of the following sets of ordinal scores would no longer be ordinal?

Accepted Answer

A)  1, 2, 3, 4, 100 
B)  1, 3, 4, 5 
C)  5, 4, 3, 2, 1 
D)  1, 3, 2, 4 
A)  1, 2, 3, 4, 100 
B)  1, 3, 4, 5 
C)  5, 4, 3, 2, 1 
D)  1, 3, 2, 4

Not all numbers can be treated equally because

The concept of magnitude is found in which of the levels of measurement below?

Numbers can be added if they are at least

The ordinal level of measurement is represented in which variable below?

It is better to treat metric ordinal data as interval data because there is less error.

Variables are the way we measure concepts.

Measurement is

The greatest error in treating data at one level as if it were at another is when

Levels of measurement refers to:

The concept of metric ordinal is useful because

A statistic designed for the interval level can also use ratio level data.

Ratio level measurement provides estimates of the relative size of numbers.

Very few important variables are measured at the nominal level.

Crime rates can only be measured at the interval level.

Ratio level of measurement is the only level to have:

The current verison, or concept, of levels of measurement was created in the

Numbers all mean the same thing.

Adding ordinal categories together only causes a problem when you try to divide the result.

Level of measurement is inherent in concepts.

Which of the following sets of ordinal scores would no longer be ordinal?

Introduction to Statistics

Graphical Statistics

Measures of Central Tendency

Measures of Dispersion

Curves and Distributions

Frequency Distributions

Elementary Relationships: Crosstabulation Tables

Hypotheses and Sampling Distributions

Statistical Significance

Testing for Significance: the Chi-Square Test

Testing for Significance in Two Groups: The T-Test

Testing for Significance in Multiple Groups: The Analysis of Variance Statistic

The Concept of Association

Testing for Association: Phi

Testing for Association: Pearsons R and Regression

Doing Real Research: Elementary Multivariate Relationships

Statistics and Data Analysis

Filters

Exam 2: Levels of Measurement

Not all numbers can be treated equally because

The concept of magnitude is found in which of the levels of measurement below?

Numbers can be added if they are at least

The ordinal level of measurement is represented in which variable below?

It is better to treat metric ordinal data as interval data because there is less error.

Variables are the way we measure concepts.

Measurement is

The greatest error in treating data at one level as if it were at another is when

Levels of measurement refers to:

The concept of metric ordinal is useful because

A statistic designed for the interval level can also use ratio level data.

Ratio level measurement provides estimates of the relative size of numbers.

Very few important variables are measured at the nominal level.

Crime rates can only be measured at the interval level.

Ratio level of measurement is the only level to have:

The current verison, or concept, of levels of measurement was created in the

Numbers all mean the same thing.

Adding ordinal categories together only causes a problem when you try to divide the result.

Level of measurement is inherent in concepts.

Which of the following sets of ordinal scores would no longer be ordinal?

Introduction to Statistics

Graphical Statistics

Measures of Central Tendency

Measures of Dispersion

Curves and Distributions

Frequency Distributions

Elementary Relationships: Crosstabulation Tables

Hypotheses and Sampling Distributions

Statistical Significance

Testing for Significance: the Chi-Square Test

Testing for Significance in Two Groups: The T-Test

Testing for Significance in Multiple Groups: The Analysis of Variance Statistic

The Concept of Association

Testing for Association: Phi

Testing for Association: Pearsons R and Regression

Doing Real Research: Elementary Multivariate Relationships

Statistics and Data Analysis

Filters