Ms. Rigano's Math Classes



Ch 1.2 and 1.3 Practice with a Graphing Calculator

Below is a list of the ages of death of each US president. The values have already been put in order for you.

46, 49, 53, 56, 56, 57, 58, 60, 60, 63, 63, 64, 64, 65, 66, 67, 67, 67, 68, 70, 71, 71, 72, 73, 74, 77, 78, 78, 79, 80, 81, 83, 85, 88, 90, 90

1. Find the five-number summary for this data set.

2. Now take the values that you calculated above and use them to create a box plot of the data.

Draw the boxplot below.

3. Create the box plot on the graphing calculator and check it with me to make sure that it’s

correct.

4. Create a histogram for the data above.

5. Create the histogram on the graphing calculator and check it with me to make sure that it’s

correct.

6. Does the y-axis represent a frequency or a relative frequency? How do you know?

To the right are two examples of box plots.

6. Sketch a curve of the data seen in the box plot representing

women.

7. Is the distribution curve that you sketched above skewed? If yes, in what direction?

The following stem and leaf plot displays travel time for New York

workers as measured in minutes.

8. Find the five-number summary for this data set.

9. What is the interquartile range (IQR) of this data set?

10. Are there any outliers? If so, what are they?

11. If we remove the outlier(s), do you expect the mean or the median to be more affected?

Explain.

12. Use a graphing calculator to determine the new five-number summary for this data set without

the outlier(s).

13. Describe the shape of the data.

14. Write a sentence describing someone’s percentile, and what that means, if their travel time

corresponds with the value at the third quartile.

The stem and leaf plot to the right displays travel time for

North Carolina workers as measured in minutes.

15. Using the plot to the right and the plot given above, create

side-by-side boxplots on your graphing calculator. Check it

with me to make sure that it’s correct.

16. Looking at the results on your graphing calculators, does the North Carolina data have any

outliers? How can you tell?

17. What is the five-number summary for this data set? What is the IQR? Use this information to

confirm if there are any outliers. Show your work below.

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