Misleading Graphs and Data Interpretation

Misleading Graphs and Data Interpretation

Assessment

Interactive Video

Mathematics, Science, Business

9th - 10th Grade

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial discusses how data can be misleading, starting with a warm-up on percentile ranks. It includes a TED Talk on misleading graphs in advertising and politics, followed by examples of deceptive graph practices. The tutorial also covers biased samples and incorrect statistics, concluding with an assignment to create a misleading graph for an advertisement.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the percentile rank of a student who scores the highest in a class?

100th percentile

50th percentile

75th percentile

99th percentile

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can a graph mislead viewers by manipulating the y-axis?

By zooming in on a small portion

By starting the graph at zero

By using a consistent scale

By using a logarithmic scale

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a common technique used to mislead with line graphs over time?

Cherry-picking data points

Using a logarithmic scale

Using a consistent x-axis scale

Starting the graph at zero

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which graph interval makes it appear that prices are increasing more rapidly?

Graph with intervals of 4

Graph with intervals of 1

Graph with intervals of 2

Graph with intervals of 10

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is graph A misleading in the annual snowfall example?

It uses a logarithmic scale

It uses a consistent scale

It starts at zero

It has a break in the scale

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a potential issue with using voluntary response samples?

They are always accurate

They include all possible responses

They can be biased

They are always representative

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can an outlier affect the average in a data set?

It has no effect

It lowers the average

It raises the average

It makes the average more accurate

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