Exploring Discrete and Continuous Data Concepts

Exploring Discrete and Continuous Data Concepts

Assessment

Interactive Video

Mathematics

6th - 10th Grade

Practice Problem

Easy

CCSS
2.MD.D.9

Standards-aligned

Created by

Olivia Brooks

Used 1+ times

FREE Resource

Standards-aligned

CCSS.2.MD.D.9
This tutorial explains the difference between discrete and continuous data, focusing on quantitative data. Discrete data is characterized by distinct gaps between values, such as shoe sizes or the number of books. Continuous data can be measured as finely as practical, like true height or weight. The video provides examples and helps viewers classify variables as discrete or continuous.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data is being focused on in this tutorial?

Qualitative data

Ordinal data

Categorical data

Quantitative data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of discrete data?

Time taken to run a race

Shoe size

Weight of an object

Height of a person

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is shoe size considered discrete data?

Because it can take any value within a range

Because it is a continuous variable

Because it has distinguishable spaces between values

Because it can be measured very accurately

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT an example of discrete data?

Number of books in a backpack

True height of a person

Number of donuts eaten

Number of text messages sent

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What characteristic defines continuous data?

It has distinguishable spaces between values

It cannot be measured accurately

It can be measured as finely as practical

It is always an integer

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of continuous data?

Number of text messages sent

Size of a car's gas tank

Number of goals scored

Number of rabbits observed

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is true height considered continuous data?

Because it has distinguishable spaces between values

Because it can be measured as finely as practical

Because it is always an integer

Because it cannot be measured accurately

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