1 / 8

Chapter 5 Describing Distributions Numerically

Chapter 5 Describing Distributions Numerically . *Mean, Median *Range, Standard Deviation, IQR *Box-and-Whisker Plots (Box Plots) *5 number summary . Remember!?!. Mean : add up all the data values then divide by the number of values

tahlia
Download Presentation

Chapter 5 Describing Distributions Numerically

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. Chapter 5Describing Distributions Numerically *Mean, Median *Range, Standard Deviation, IQR *Box-and-Whisker Plots (Box Plots) *5 number summary

  2. Remember!?! • Mean: add up all the data values then divide by the number of values • Median: the middle number in an arranged set of data (if there is no middle number find the mean between the two middle numbers) • Range: max value – min value

  3. Patriots Salaries 13 - 14 • Find the mean, median, and range for the data

  4. When to use what? • When your data is skewed • center: median • range: Interquartile Range (IQR) • When your data is symmetric • center: mean • range: standard deviation (SD) **Always check the distribution of the data before deciding which measure of center and spread to use**

  5. Mean vs Median in Skewed Data

  6. 5 Number Summary • Minimum • Lower Quartile (Q1) [median of lower 50% of the data] • Median • Upper Quartile (Q3) [median of the upper 50% of the data] • Maximum • Calc: • enter data into the list • STAT ; CALC ; 1: 1 – VAR Stats

  7. How to Determine an Outlier • If a data value is more than 1.5 times the IQR away from the upper or lower quartile it is an outlier • Q1 – 1.5IQR • Q3 + 1.3IQR

  8. Box-and-Whisker Plots(Box Plots) • A way to display the 5 number summary

More Related