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Warm Up Data on the tipping percentage at 20 restaurant tables is shown below (from “Beauty and the Labor Market” 2007). 0.0 5.0 16.3 32.8 13.9 10.4 15.2 20.0 10.0 14.6.

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Presentation on theme: "Warm Up Data on the tipping percentage at 20 restaurant tables is shown below (from “Beauty and the Labor Market” 2007). 0.0 5.0 16.3 32.8 13.9 10.4 15.2 20.0 10.0 14.6."— Presentation transcript:

1 Warm Up Data on the tipping percentage at 20 restaurant tables is shown below (from “Beauty and the Labor Market” 2007). Find the mean, standard deviation, and 5 number summary. Compare the 2 sets of values (Mean-Std Dev vs. Med-IQR) 2) Drop the obvious outlier and compute mean, standard deviation, median and IQR for the modified data set. 3) What does this tell you about the effect of outliers on mean and standard deviation?

2 Activity – 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 Activity – 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) Calculate the percentile of your height in the class.

4 Practice 1) Find the z score for a height of 65 inches.
3) What height is needed for a z score of -1.5?

5 Practice Two graduating seniors, one with a computer science degree and one an education degree, are comparing job offers. The computer science major received an offer for $84,000 while the education major received an offer for $51,000. 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


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