1. Warm-up 2.3 Measures of Center and Spread NMinQ1MedianQ3Max No Caffeine 151620212426 Low Caffeine 151618212427 High Caffeine 151217192224 a) Describe the W’s for these data: Who, what, when, where, why, and how. b) Name the variables and classify each as categorical or quantitative. c) Create parallel boxplots to display these results as best you can with this information. d) Write a few sentences comparing the performances of the three groups.

2. Student of the day! Block 1

3. Student of the day! Block 2

4. Homework Answers 2.2 E #21 a and b.

5. E#21 c and d

6. E# 22 a - c

7. 2.3 Measures of Center and Spread So far we are have learned how to create the following data displays: Histograms, Stem-and-leaf plot, Boxplot, and Dotplot Today we will also learn how to make a relative frequency histogram AND a modified boxplot. This bar chart shows a distribution of the number of children in a sample of 1000 randomly selected families in the United States. Make the necessary changes to convert it to a relative frequency bar chart

8. Modified Boxplot 5 number summary

9. Standard Deviations and Frequency Mean: Mean w/ Frequency: Standard Deviation: Standard Deviation with Frequency:

10. Remaining 2.3 Notes Complete the remaining 2.3 Notes on Investigating the difference between recentering and rescaling After about 15 minutes we will go over what you should have learned. If you finish early start on the homework. 2.3 pg 63 D #16 answer all parts; read 2.4

11. Recentering and Rescaling Discovery Sheet Recentering and rescaling data are important ideas in A.P. Statistics. You should know how adding n to each of the numbers in a data set affects the mean and measures of spread. You should know how multiplying each of the numbers by n affects the mean and measures of spread.