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Data Analysis Basics

Authored by Roger Thompson

Computers

9th Grade

Used 1+ times

Data Analysis Basics
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30 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which of the following is a primary purpose of data visualization?

To make datasets look more complex

To communicate information clearly and efficiently

To increase the time it takes to interpret data

To confuse the audience with misleading graphs

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

What type of graph is most appropriate for displaying the relationship between two quantitative variables?

Pie chart

Bar graph

Line graph

Scatter plot

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which data visualization technique would be best to show parts of a whole?

Histogram

Pie chart

Line graph

Scatter plot

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

What is the main advantage of using a line graph?

It can display multiple categories of data simultaneously.

It is useful for showing trends over time.

It can show the relationship between any two variables.

It is the best way to display parts of a whole.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

When should you use a bar graph?

When you want to show how a quantity varies across different categories

When you are trying to display changes over continuous data

When you need to show the correlation between two variables

When you are comparing the parts of a whole

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

What is the purpose of using a histogram?

To show changes over time

To compare different categories

To display the distribution of a quantitative variable

To illustrate the relationship between two variables

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which of the following is true about pie charts?

They are best for showing trends over time.

They can effectively display distributions of large datasets.

They are ideal for comparing parts of a whole.

They are the most effective way to show correlations between variables.

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