Basic Statistics: Tales of Distributions 10th Edition

Published by Cengage Learning
ISBN 10: 0-49580-891-1
ISBN 13: 978-0-49580-891-6

Chapter 5 - Other Descriptive Statistics - Problems - Page 75: 5.4

Answer

Even though both were the fastest in their events, **Heslope’s performance** was slightly more **exceptional relative to her peers**, as reflected by a more negative z-score.

Work Step by Step

Here is the full **step-by-step breakdown** of the z-score calculations for **Harriett** and **Heslope**: --- ## **Harriett – 10k Runners** ### 1. Raw Times (in minutes): * Harriett: 37 * Dott: 39 * Liz: 40 * Marette: 42 ### 2. Mean ($\mu$): $$ \mu = \frac{37 + 39 + 40 + 42}{4} = \frac{158}{4} = 39.5 $$ ### 3. Population Standard Deviation ($\sigma$): $$ \sigma = \sqrt{\frac{(37 - 39.5)^2 + (39 - 39.5)^2 + (40 - 39.5)^2 + (42 - 39.5)^2}{4}} $$ $$ = \sqrt{\frac{6.25 + 0.25 + 0.25 + 6.25}{4}} = \sqrt{\frac{13}{4}} = \sqrt{3.25} \approx 1.80 $$ ### 4. Z-Score for Harriett: $$ z = \frac{X - \mu}{\sigma} = \frac{37 - 39.5}{1.80} = \frac{-2.5}{1.80} \approx -1.39 $$ --- ## **Heslope – 50m Swimmers** ### 1. Raw Times (in seconds): * Heslope: 24 * Ta-Li: 26 * Deb: 27 * Betty: 28 ### 2. Mean ($\mu$): $$ \mu = \frac{24 + 26 + 27 + 28}{4} = \frac{105}{4} = 26.25 $$ ### 3. Population Standard Deviation ($\sigma$): $$ \sigma = \sqrt{\frac{(24 - 26.25)^2 + (26 - 26.25)^2 + (27 - 26.25)^2 + (28 - 26.25)^2}{4}} $$ $$ = \sqrt{\frac{5.0625 + 0.0625 + 0.5625 + 3.0625}{4}} = \sqrt{\frac{8.75}{4}} = \sqrt{2.1875} \approx 1.48 $$ ### 4. Z-Score for Heslope: $$ z = \frac{24 - 26.25}{1.48} = \frac{-2.25}{1.48} \approx -1.52 $$ --- ## Final Comparison | Athlete | Mean | Std Dev | Time | Z-Score | | -------- | ----- | ------- | ---- | --------- | | Harriett | 39.5 | 1.80 | 37 | **-1.39** | | Heslope | 26.25 | 1.48 | 24 | **-1.52** |
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