Statistics Concepts and Terminology

Statistics Concepts and Terminology

Assessment

Interactive Video

Mathematics

9th - 10th Grade

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial introduces statistics as the collection and interpretation of data, highlighting its role in measuring variability. It distinguishes between inferential and descriptive statistics, explaining how each is used. Key definitions such as population, sample, and variables are provided. The tutorial also categorizes data into categorical and quantitative types, further breaking down categorical data into ordinal and nominal, and quantitative data into discrete and continuous variables.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus of statistics?

To design computer algorithms

To study historical events

To create new mathematical theories

To collect and interpret data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of statistics involves making predictions about a population based on a sample?

Descriptive statistics

Qualitative statistics

Inferential statistics

Quantitative statistics

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a 'population' refer to in statistics?

A specific type of data

A mathematical formula

The total number of things being studied

A small group of people

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the term for the total number of things in a sample?

Data size

Population size

Sample size

Variable size

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of categorical data?

Midterm score

Hair color

Weight

Height

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What distinguishes categorical and ordinal variables from categorical and nominal variables?

Nominal variables have a logical order

Ordinal variables are always continuous

Nominal variables are always numbers

Ordinal variables have a logical order

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can quantitative data be described?

Data that is measured in categories

Data that is measured in numbers

Data that is always continuous

Data that is always discrete

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