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by: Felicia Hyde

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# math 124 week 2 notes MATH 124

Felicia Hyde
SFSU

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how to describe distributions numerically
COURSE
Elementary Statistics
PROF.
Vera Klimkovsky
TYPE
Class Notes
PAGES
1
WORDS
CONCEPTS
elementary statistics
KARMA
25 ?

## Popular in Math

This 1 page Class Notes was uploaded by Felicia Hyde on Saturday September 10, 2016. The Class Notes belongs to MATH 124 at San Francisco State University taught by Vera Klimkovsky in Fall 2016. Since its upload, it has received 4 views. For similar materials see Elementary Statistics in Math at San Francisco State University.

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Date Created: 09/10/16
Elementary Statistics Math 124-08 Vera Klimkovsky 31 August 2016 Chapter 2: Describing Distributions with Numbers *this discussion applies to quantitative data Center:  Mode: (modal class)  Median: (middle of sorted data)  Mean: (average) Spread:  Range: Max-Min  IQR: Q3-Q1 (inter quartile range) Variance & Standard Variation  Measure of location: min, Q1, median,Q3, max ( AKA--- the five number summary) EX: report the five number summary for: 106 135 100 130 153 78 141 Sort data: 5 │ 1 125 169 51 72 128 116 129 6 │ 7 │ 2 8 5 number summary: 8│ Min Q1 median Q3 max 9│ Min: 51 Q1: 100 median: 126.5 Q3: 135 max: 164 10 │ 0 6 Q2 (median) = (125+128)/2 = 126.5 IQR = 135-100 = 35 11 │ 6 1.5 IQR rule for outliers: Lower fence: Q1- 1.5IQR = 100 – 1.5(35) = 47.5 12│ 5 8 9 13│ 0 5 Upper fence: Q3 + 1.5IQR = 135 + 1.5(35) = 187.5 14 │ 1 *note: If you have anything below 15 │3 lower fence or above upper fence then you have an outlier! 16 │9

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