Chapter 2.1 Displaying Distributions with Graphs

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Anticipatory Guide

Chapter 2.1 – Displaying Distributions with Graphs

Directions: Before reading the text, draw a conclusion about the given statement. After reading the text, draw a final conclusion. If your conclusion is different or the statement is false, explain why.

Before / Statement / After
True / False / True / False
1. Unlike a bar graph, histograms have no horizontal space between bars unless a class is empty.
2. Bin width is the width of each bar on a histogram. You can adjust the width by changing the starting and ending values for each class.
3. Good histograms will choose classes that avoid the “skyscraper” and “pancake” effects.
4. It’s easiest to find outliers by first looking at the raw data set.
5. In general, it’s OK to ignore or simply delete outliers.
6. The center of a distribution can be described by finding the median (midpoint) and mean (average).
7. The chief advantage of a histogram is that it displays the actual value of the observation.
8. A stemplot looks like a histogram turned on end.
9. Stemplots do not work well with large data sets because there would be too many leaves.
10. Computing histograms with a calculator is convenient because it chooses bin width for you.

Anticipatory Guide

Chapter 2.1 – Displaying Distributions with Graphs

Before / Statement / After
True / False / True / False
1. Unlike a bar graph, histograms have no horizontal space between bars unless a class is empty. / X
2. Bin width is the width of each bar on a histogram. You can adjust the width by changing the starting and ending values for each class. / X
3. Good histograms will choose classes that avoid the “skyscraper” and “pancake” effects. / X
4. It’s easiest to find outliers by first looking at the raw data set. Look at the graph first. / X
5. In general, it’s OK to ignore or simply delete outliers. No, outliers need to be investigated to determine if it is necessary to include them or delete them for just cause. / X
6. The center of a distribution can be described by finding the median (midpoint) and mean (average). / X
7. The chief advantage of a histogram is that it displays the actual value of the observation. This is a chief advantage for a stemplot. / X
8. A stemplot looks like a histogram turned on end. / X
9. Stemplots do not work well with large data sets because there would be too many leaves. / X
10. Computing histograms with a calculator is convenient because it chooses bin width for you. / X