STAT. FOR BEHAVIORAL SCIENCES WEBASSIGN
STAT. FOR BEHAVIORAL SCIENCES WEBASSIGN
3rd Edition
ISBN: 9781544317823
Author: PRIVITERA
Publisher: Sage Publications
bartleby

Concept explainers

bartleby

Videos

Question
Book Icon
Chapter 1, Problem 26CAP
To determine

Fill in the given table to identify the characteristics of each variable.

Expert Solution & Answer
Check Mark

Answer to Problem 26CAP

The table for the characteristics of each variable is,

Variable

Qualitative vs

Quantitative

Continuous vs

Discrete

Scale of Measurement
SexQualitativeDiscreteNominal
SeasonsQualitativeDiscreteNominal
Time of dayQuantitativeContinuousRatio
Rating scale scoreQuantitativeDiscreteInterval

Movie ratings

(1 to 4 stars)

QuantitativeDiscreteOrdinal

Number of students

in your class

QuantitativeDiscreteRatio
Temperature (degrees Fahrenheit)QuantitativeContinuousInterval

Time (in minutes) to

prepare dinner

QuantitativeContinuousRatio

Position standing

in line

QuantitativeDiscreteOrdinal

Explanation of Solution

Quantitative variable:

The variable which is measured numerically and it is collected by counting or measuring is termed as quantitative variable. Also, the quantitative variable varies by amount.

Qualitative variable:

The variable which is represented as a label and describes the nonnumeric aspects of phenomena is termed as qualitative variable. Also, the qualitative variable varies by class.

Discrete variable:

If the variable measures whole units or categories that are not distributed along a continuum then it is termed as discrete variable.

Continuous variable:

If the variable measures a long a continuum, that is, it measures at any place beyond the decimal point then it is termed as continuous variable.

Nominal scale:

If measurements in which the numbers are assign to represent something or someone is termed as nominal scale.

Ordinal scale:

The measurements which convey the order or rank alone is said to be ordinal scale.

Interval scale:

The measurements which are distributed in equal units and have no true zero is said to be interval scale. In other words, the interval scale is equidistant but do not have true zero.

Ratio scale:

The measurements which are distributed in equal units and have a true zero is said to be ratio scale. In other words, the interval scale is equidistant and has a true zero. Also, the ratio scale is the most informative scale of measurement.

True zero:

The true zero is nothing on a scale of measurement when the value 0.

For sex:

The variable sex can be represented as labels and it describes nonnumeric aspects of phenomena. Therefore, the variable “sex” is qualitative.

The variable sex (male or female) is finite and it is collected by counting or measuring. Also, it is observed that sex is not a continuous series.

Therefore, the variable “sex” is discrete.

Here, it is observed that the nominal scale converts the sex into number. Therefore, the sex is measured by nominal scale.

For seasons:

The variable seasons (spring, summer, rainy, autumn, fall winter and winter) can be represented as labels and it describes nonnumeric aspects of phenomena. Therefore, the variable “seasons” is qualitative.

The variable ‘seasons’ is finite and it is collected by counting or measuring. Also, it is observed that seasons is not a continuous series.

Therefore, the variable “seasons” is discrete.

Here, it is observed that the nominal scale converts the seasons into number. Therefore, the season is measured by nominal scale.

For time of day:

The variable ‘time of day’ represents the numbers and that can be counted or measured. Thus, the variable time of day is quantitative.

The variable ‘time of day’ would be infinite or it is continuous series because it takes infinitely many values between any two times. Therefore, the variable ‘time of day’ is continuous variable.

Here, it is observed that the time of day is recorded. The time of day distributed in equal parts and it contains a value 0. Therefore, the variable ‘time of day’ is measured by ratio scale.

For rating scale score:

The variable ‘rating scale score’ represents the numbers and that can be counted or measured. Thus, the variable rating scale score is quantitative.

The variable ‘rating scale score’ is finite and it is collected by counting or measuring. Also, it is observed that rating scale score is not a continuous series.

Therefore, the variable “rating scale score” is discrete.

The rating scale score distributed in equal units and it does not true zero. Therefore, the variable rating scale score is measured by interval scale.

For movie rating (one to four stars):

The variable ‘movie rating (one to four stars)’ represents the numbers and that can be counted or measured. Thus, the variable movie rating (one to four stars) is quantitative.

The variable ‘movie rating (one to four stars)’ is finite and it is collected by counting or measuring. Also, it is observed that movie rating (one to four stars) is not a continuous series.

Therefore, the variable “movie rating (one to four stars)” is discrete.

The rating of the movie has a specific order that is based on a 4 star scale. The number 1 may represent ‘not good’, 2 may represent ‘average’, 3 may represent ‘good’ and 4 may represent ‘excellent’. It is clear that the values are arranged with the natural ordering.

Therefore, the variable movie rating (one to four stars) is measured by ordinal scale.

For number of students in a class:

The variable ‘number of students in a class’ represents the numbers and that can be counted or measured. Thus, the variable number of students in a class is quantitative.

The variable ‘number of students in a class’ is finite and it is collected by counting or measuring. Also, it is observed that ‘number of students in a class’ is not a continuous series.

Therefore, the variable ‘number of students in a class’ is discrete.

Here, it is observed that the ‘number of students in a class’ is recorded. The ‘number of students in a class’ distributed in equal parts and it contains a value 0. Therefore, the variable ‘number of students in a class’ is measured by ratio scale.

For temperature (degrees Fahrenheit):

The variable ‘temperature (degrees Fahrenheit)’ represents the numbers and that can be counted or measured. Thus, the variable temperature (degrees Fahrenheit) is quantitative.

The variable ‘temperature (degrees Fahrenheit)’ would be infinite or it is continuous series because it takes infinitely many values between any two degrees Fahrenheit. Therefore, the variable ‘temperature (degrees Fahrenheit)’ is continuous variable.

The temperature (degrees Fahrenheit) distributed in equal units and it does not have true zero. Therefore, the variable temperature (degrees Fahrenheit) is measured by interval scale.

For time (in minutes) to prepare dinner:

The variable ‘time (in minutes) to prepare dinner’ represents the numbers and that can be counted or measured. Thus, the variable time (in minutes) to prepare dinner is quantitative.

The variable ‘time (in minutes) to prepare dinner’ would be infinite or it is continuous series because it takes infinitely many values between any two minutes. Therefore, the variable ‘time (in minutes) to prepare dinner’ is continuous variable.

Here, it is observed that the time (in minutes) to prepare dinner is recorded. The time (in minutes) to prepare dinner distributed in equal parts and it contains a value 0. Therefore, the variable ‘time (in minutes) to prepare dinner’ is measured by ratio scale.

For position standing in line:

The variable ‘position standing in line’ represents the numbers and that can be counted or measured. Thus, the position standing in line is quantitative.

The variable ‘position standing in line’ is finite and it is collected by counting or measuring. Also, it is observed that ‘position standing in line’ is not a continuous series.

Therefore, the variable ‘position standing in line’ is discrete.

The position standing in line has a specific order. That is, the values are arranged with the natural ordering.

Therefore, the position standing in line is measured by ordinal scale.

Hence, the table for the characteristics of each variable is,

VariableQualitative vs. QuantitativeContinuous vs. DiscreteScale of Measurement
SexQualitativeDiscreteNominal
SeasonsQualitativeDiscreteNominal
Time of dayQuantitativeContinuousRatio
Rating scale scoreQuantitativeDiscreteInterval
Movie ratings (1 to 4 stars)QuantitativeDiscreteOrdinal
Number of students in your classQuantitativeDiscreteRatio
Temperature (degrees Fahrenheit)QuantitativeContinuousInterval
Time (in minutes) to prepare dinnerQuantitativeContinuousRatio
Position standing in lineQuantitativeDiscreteOrdinal

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!
Students have asked these similar questions
I. %3D
Complete the description
Statistics Question
Knowledge Booster
Background pattern image
Statistics
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
Text book image
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Text book image
Algebra: Structure And Method, Book 1
Algebra
ISBN:9780395977224
Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:McDougal Littell
Text book image
College Algebra (MindTap Course List)
Algebra
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:Cengage Learning
Text book image
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Text book image
Mathematics For Machine Technology
Advanced Math
ISBN:9781337798310
Author:Peterson, John.
Publisher:Cengage Learning,
Text book image
Trigonometry (MindTap Course List)
Trigonometry
ISBN:9781337278461
Author:Ron Larson
Publisher:Cengage Learning
Points, Lines, Planes, Segments, & Rays - Collinear vs Coplanar Points - Geometry; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=dDWjhRfBsKM;License: Standard YouTube License, CC-BY
Naming Points, Lines, and Planes; Author: Florida PASS Program;https://www.youtube.com/watch?v=F-LxiLSSaLg;License: Standard YouTube License, CC-BY