Types of Graphs
Central Measures of Tendency
Stem and Leaf Plots
Misleading Graphs
Skewed Data
100

What type of graph uses pictures or symbols to display data?

Pictograph

100

What is the range of this dataset: 21, 20, 36, 11, 40, 32

29

100

In the number 47, this digit would be the leaf in a stem-and-leaf plot.

7

100

This is the first number that should usually appear on a graph’s scale to avoid confusion.

Zero

100

What is skewed data?

Skewed data is when the numbers are mostly on one side, with a few values far away on the other side.

200

Name 4 things that are important to include in a graph.

Title, labels, scale, key, data, etc.

200

What are the steps to calculate the median?

Order the numbers from smallest to biggest and find the middle value. If there are two values in the middle, add them up and divide the sum by 2.

200

What is the main purpose of a stem and leaf plot?

To organize collected data

200

If the numbers on a graph jump unevenly (like 0, 10, 100), it can confuse readers; this is a problem with the...

Scale

200

What are the two ways data can be skewed?

Positive and negative

300

This part of a graph explains what symbols or colors mean.

Key or legend

300

What is the mode of this dataset: 3.2, 3.1, 3.4, 3.4, 3.2

3.2 and and 3.4

300

A stem-and-leaf plot showing “5 | 1 3 7” represents these three data values. (Key: 5 | 2 = 52)

51, 53, 57

300

If the vertical axis does not start at zero, it can make differences look bigger; this is called...

A broken scale

300

Skewed data is caused by these unusual numbers that are very high or very low.

Outliers

400

What is the main difference between a stacked bar graph and a multiple bar graph?

Bars are stacked instead of placed side by side

400

The mean of 4 numbers is 10. This is their total sum.

40

400

In a stem-and-leaf plot, this part usually represents all but the last digit of a number.

The stem

400

When only a portion of overall data is selected to be shown on a graph, this is called... 

Cherry picking
400

Explain why the mean is not always the best measure of central tendency for skewed data.

Because extreme values pull the mean in the direction of the skew, making it unrepresentative of the “typical” value.

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