1 / 5

Analyzing the Impact of an Outlier in Air Hockey Tournament Results

This example examines the effect of an outlier on the mean, median, mode, range, and standard deviation of a data set in an air hockey tournament. It also discusses which measure of central tendency is most and least affected by the outlier and the impact on the range and standard deviation. Additionally, it provides a hypothetical scenario and calculates the new statistics if a different outlier score is introduced.

smorrison
Télécharger la présentation

Analyzing the Impact of an Outlier in Air Hockey Tournament Results

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Air Hockey EXAMPLE 4 Examine the effect of an outlier You are competing in an air hockey tournament. The winning scores for the first 10 games are given below. 14, 15, 15, 17, 11, 15, 13, 12, 15, 13 a. Find the mean, median, mode, range,and standard deviation of the data set. b. The winning score in the next game is an outlier, 3. Find the new mean, median, mode, range, and standard deviation.

  2. ... 14 + 15 + + 13 a. Mean: 14 = = x 10 EXAMPLE 4 Examine the effect of an outlier c. Which measure of central tendency does the outlier affect the most? the least? d. What effect does the outlier have on the range and standard deviation? SOLUTION Median:14.5Mode:15 Range:17 – 11 = 6

  3. … – – – (14 14)2+ (15 14)2+ + (13 14)2 Std. Dev.: 1.5 = 10 ... 14 + 15 + + 3 b. Mean: 13 = = 11 x … – – – (14 13)2+ (15 13)2+ + ( 3 13)2 Std. Dev.: 3.5 = 11 EXAMPLE 4 Examine the effect of an outlier Median:14 Mode:15 Range:17 – 3 = 14

  4. EXAMPLE 4 Examine the effect of an outlier c. The mean is most affected by the outlier. The mode is least affected by the outlier. d. The outlier causes both the range and standard deviation to increase.

  5. 3. What If?In part (b) of Example 4, suppose the winning score in the next game is 25 instead of 3. Find the new mean, median, mode, range, and standard deviation of the data set . Mean: ... = 14 + 15 + + 25 11 15 = x … – – – (14 15)2+ (15 15)2+ + ( 25 15)2 Std. Dev.: = 11 for Example 4 GUIDED PRACTICE SOLUTION Median:15Mode:15 Range:25 – 11 = 14 = 3.5

More Related