1. Warm Up
Data on the tipping percentage at 20 restaurant tables is shown below (from the study “Beauty and the Labor Market” in 2007).
1) Find the mean & standard deviation and the five number summary. Which is a better summary of the data?
2) Drop the obvious outlier and find the mean & standard deviation and the five number summary for the modified data set.
3) Compare the 2 sets of summaries. What does this tell you about the effect of outliers on mean and standard deviation?

2. Data Collection – Measure Your Height in Inches
Line up from shortest to tallest in the class.
Your partner is the person standing next to you.
Measure each others heights in inches by standing against the wall. Use the measuring tapes provided.
Put your height in inches on the board.

3. Data Collection – Measure Your Height in Inches
1) Make a cumulative frequency plot using the students’ heights in inches. (Best option – Enter data into calculator and sort from smallest to largest.)
2) Estimate the median height in the class from your plot.
3) Estimate the percentile of your height in the class.

4. Z-Score Practice #1
Using the data set of the heights of all students in the class:
1) Find the z score for a height of 65 inches.
2) Find the z score for a height of 73 inches.
3) What height is needed for a z score of -1.5?

5. Z-Score Practice #2
Two graduating college seniors, one with a computer science degree and one an education degree, are comparing job offers. The computer science major received an offer with a salary of $84,000 per year while the education major received an offer with a salary of $51,000 per year. Based on the information below, who received a better offer for their field?
Comp Sci: mean = $83,500 std dev = $2900
Education: mean = $49,500 std dev = $2200