Critical Thinking: Use of Data

Multiple Choice

What should you check first to see if a graph is misleading?

• The title

• The colors

• The scale of the axes

• The size of the graph

Multiple Choice

What is one way to tell if a pie chart is misleading?

• It uses more than three colors.

• It represents more than 100%.

• It has a legend.

• It is in 3D.

Multiple Choice

If the y-axis does not start at 0, what effect might this have on the graph?

• It makes the graph more accurate.

• It can exaggerate differences.

• It makes the graph easier to read.

• It has no effect on the graph.

Multiple Choice

Why is it important to look at the source of the graph?

• To see if it's colorful.

• To check if it's made by a famous person.

• To determine if the information is reliable.

• To find out how old it is.

Multiple Choice

What could be misleading about the labels on a graph?

• They are in a different language.

• They use a fancy font.

• They are too small to read.

• They omit important information.

Multiple Choice

How can the scale of a graph be misleading?

• By using a logarithmic scale without indicating it.

• By changing colors across the scale.

• By including too many numbers.

• By making it horizontal.

Multiple Choice

Why might a graph use very bright or contrasting colors?

• To make it look more scientific.

• To highlight specific data points or trends.

• To make it readable in low light.

• To ensure it can be printed in black and white.

Multiple Choice

What does it mean if data points are missing from a graph?

• The graph is more focused.

• The graph is easier to understand.

• The graph might be hiding unfavorable data.

• The graph is more accurate.

Multiple Choice

How can the arrangement of categories in a bar chart be misleading?

• By arranging them alphabetically.

• By arranging them by size from smallest to largest.

• By mixing them randomly.

• By arranging them in a way that suggests a trend that doesn't exist.

Multiple Choice

What should you do if you think a graph is misleading?

• Ignore all the data it presents.

• Check the data source and how the graph was made.

• Make your own graph.

• Only focus on the parts that support what you already believe.

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