/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 16 Classify the variable as qualita... [FREE SOLUTION] | 91影视

91影视

Log out

Learning Materials

Features

Discover

Chapter 1: Problem 16

Classify the variable as qualitative or quantitative. Number of siblings

Short Answer

Expert verified
'Number of siblings' is a quantitative variable.

Step by step solution

01

Understand the Variable

The first step is to understand what the variable 'Number of siblings' represents. This variable counts how many siblings a person has.
02

Define Qualitative Variables

Qualitative variables, also known as categorical variables, describe categories or names. They are non-numeric and are used to label or describe the distinct categories of a characteristic.
03

Define Quantitative Variables

Quantitative variables are numerical and represent measurable quantities. They can be divided into two types: discrete and continuous. Discrete quantitative variables represent counts that can only take specific values, such as 0, 1, 2, etc.
04

Classify 'Number of Siblings'

Since 'Number of siblings' represents a countable quantity and can take numerical values such as 0, 1, 2, 3, and so on, it is a quantitative variable.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

Key Concepts

These are the key concepts you need to understand to accurately answer the question.

qualitative variables
Qualitative variables, also called categorical variables, are characteristics that describe non-numeric categories or names. They help in grouping data based on attributes or qualities. Think of categories like eye color (blue, green, brown), types of cuisine (Italian, Mexican, Chinese), or even gender (male, female).
These variables do not deal with quantities but rather with descriptions. They capture the essence or the characteristic of a subject.
Examples include:
  • Hair color (black, blonde, brown)
  • Type of vehicle (car, bus, bike)
  • Names of cities
Qualitative variables are usually visualized using bar charts or pie charts since they focus on the number of occurrences of different categories.
quantitative variables
Quantitative variables represent numerical values and measurable quantities. They answer questions about 'how much' or 'how many'. This attribute makes them incredibly useful for various mathematical and statistical analyses.
Quantitative variables can be further divided into two types:
  • Discrete variables
  • Continuous variables
Discrete variables, for instance, represent counts and can only take specific values. For example, the number of siblings one has: 0, 1, 2, etc. On the other hand, continuous variables can take any value within a range. Think about heights, weights, or temperatures.
These variables are often depicted using histograms or scatter plots to showcase their numeric trends and distributions.
discrete data
Discrete data is a type of quantitative data that represents distinct and countable values. Think of it like counting apples in a basket. You can have 1, 2, or 3 apples, but you can't have 2.5 apples (in the context of counting whole apples, not part thereof).
Common characteristics of discrete data include:
  • The values are countable and finite.
  • They often represent whole numbers.
  • There are no intermediate values between two consecutive points.
For example, the 'number of siblings' a person has falls under discrete data. You count them individually: 1 sibling, 2 siblings, and so on.
Visual tools like bar graphs or dot plots are frequently used to illustrate discrete data, as they best represent distinct, separate values.

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Determine whether the quantitative variable is discrete or continuous. Internet connection speed in kilobytes per second

Define simple random sampling.

Discuss a possible advantage of offering rewards or incentives to increase response rates. Are there any disadvantages?

The survey has bias. (a) Determine the type of bias. (b) Suggest a remedy. A health teacher wants to research the weight of college students. She obtains the weights for all the students in her 9 A.M. class by looking at their driver's licenses or state IDs.

Determine whether the quantitative variable is discrete or continuous. Number of Sequoia trees in a randomly selected acre of Yosemite National Park
See all solutions

Recommended explanations on Math Textbooks

Statistics

Read Explanation

Mechanics Maths

Read Explanation

Probability and Statistics

Read Explanation

Logic and Functions

Read Explanation

Pure Maths

Read Explanation

Decision Maths

Read Explanation
View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.