CEE_110_08_Lecture_2

# CEE_110_08_Lecture_2 - each bar: uniform variable odes I...

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escribing Quantitative Data Describing Quantitative Data Shape, Center, and Spread

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ampling Sampling opulation = the entire collection of objects or Population the entire collection of objects or outcomes about which information is sought. ample subset of a population containing • Sample = subset of a population containing observed objects or outcomes • Univariate sample x = quantitative variable x 1 , x 2 ,……x n = values of x for n samples
hape Shape • Ways to plot data – dot plots – stem and leaf plots istograms – histograms

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istograms Histograms • Present data density rather than individual values • Presentation depends on choice of interval for

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Unformatted text preview: each bar: uniform variable odes I Modes I nimodal Unimodal Bimodal Multimodal odes II Modes II niform 8 9 10 Uniform 2 3 4 5 6 7 Symmetric/Skewed 550 600 650 700 750 800 850 900 1 skewed left symmetrical skewed right odes III Modes III utliers gaps clusters Outliers, gaps, clusters Re-expressing Data original data x 600 800 200 400 -pressed data g 2.5 5 7.5 10 12.5 15 17.5 20 x (millions) re expressed data log x 80 100 20 40 60 4.4 4.7 5 . 3 5.6 .9 6 2 6.5 6.8 7 1 4 7.7 8 log x...
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## This note was uploaded on 05/19/2011 for the course CEE 110 taught by Professor Stolzenbach during the Spring '08 term at UCLA.

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CEE_110_08_Lecture_2 - each bar: uniform variable odes I...

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