In the following data, what type of data is "Economic Status"?[table]
Country | Economic Status | GDP per Capita | Life Expectancy Country A | High income | 52000 | 82.1 Country B | Low income | 1200 | 60.4 Country C | Middle income | 8500 | 71.8 Country D | High income | 47000 | 80.5 Country E | Low income | 1500 | 58.9 Country F | Middle income | 9500 | 73.2
[/table]

Question

BlackTom AI · Accepted Answer

Consider the data presented in the table for Economic Status. 
Option 1: Nominal. This category would be labels without any inherent order (e.g., country names, colors like red/green). Since High income, Middle income, and Low income imply an ordering from higher to lower income status, this is not nominal.
Option 2: Ordinal. The categories here correspond to a natural ranking: High income indicates the highest level among the three, followed by Middle income, then Low income. The data conveys order, which is the key feature of ordinal data.
Option 3: Discrete. Discrete data are countable quantities that take on distinct separate values (like number of children). Economic Status is not a countable measurement; it’s a ranked category, so discrete is not appropriate.
Option 4: Continuous. Continuous data can take an infinite number of values within a range (like height or temperature). Economic Status is not measured on a continuum; it’s a set of distinct categories, so this option is incorrect.
To summarize, the defining aspect here is the inherent order among the categories High income, Middle income, and Low income, which characterizes ordinal data rather than nominal, discrete, or continuous data.

View Explanation

Log in for full answers

Similar Questions

Beacon codes that end in the numerals “00” are _______.

Question at position 6 The amount of time taken by each of 10 students in a class to complete an exam is an example of what type of data?Categorical dataCannot be determinedQuantitative dataTime series dataClear my selection

The following variables are collected from an online shopping website. Select the correct data type for each variable. 1: Postcode 2: Day of Purchase (Monday - Sunday) 3: Amount of spent ($) 4: Quantity bought (kg)

Quantitative data is more objective than qualitative data.

When students are asked to list their age and the percentage of their college expenses that they pay for themselves, the type of data being collected is quantitative.

Match the following data categories to their description of data type: 1: quantitative discrete 2: quantitative continuous 3: qualitative nominal 4: qualitative ordinal

A doctor recorded the weights (in kilograms) and the heights (in cm) of [math: 50] patients in order to calculate their Body Mass Index (BMI). The variables weight and height are:

Numeric data are data on which you can perform meaningful arithmetic procedures.

More Practical Tools for Students Powered by AI Study Helper

Homework AI Solver

Stylized AI Paper Writer

Plagiarism Checker Assistant

Citation AI Academic Writing Tool

In-Class Translation Assistant

AI Note Generator

AI Quiz Answers

Past Exam Questions from University Test Bank

Smart Practice Assistant

Adaptive Practice

Making Your Study Simpler