# lec4 - STATISTICS 13 STATISTICS Lecture 4 Oct 1 2010...

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STATISTICS 13 STATISTICS 13 STATISTICS 13 Lecture 4 Lecture 4 Oct 1, 2010 Oct 1, 2010

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Reivew Graphical description of quantitative data Bar and Pie charts (for categorized quantitative variables) Heat map, time series Dotplot – histogram
Example: Box Office The average per-site gross weekend revenue (in dollars) for the top 20 movies were measured for one weekend (3-5) in August 2001: 21,619; 1,042; 7,800; 1,315; 9,012; 902; 3,545; 1,062; 2,670; 1,196; 2,918; 5,129; 2,307; 758; 2,200; 882; 1,352; 941; 3,211; 14,895

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Box Office (cont.) Statistical Table Rev. 750~ 3250 3250~ 5750 5750~ 8250 8250~ 10750 10750~ 13250 13250~ 15750 15750~ 18250 18250~ 20750 20750~ 23250 Tally 11111111 111111 11 1 1 1 1 Freq. 14 2 1 1 0 1 0 0 1 Rel. Freq. .70 .10 0.05 0.05 0 0.05 0 0 0.05 Perc. 70% 10% 5% 5% 0 5% 0 0 5%
Box Office (cont.) Histograms Revenue Frequency 20750 15750 10750 5750 750 14 12 10 8 6 4 2 0 Histogram of Revenue Revenue Percent 20750 15750 10750 5750 750 70 60 50 40 30 20 10 0 Histogram of Revenue

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Box Office (cont.) Three types of histograms on different scales: --frequency scale --relative frequency scale --percentage scale They all have the same shape: Do you observe any outliers in the above example?
Example: Weights Weights of 200 individuals: 100 men and 100 women Data is Bimodal: two local peaks Why? H i s t o g r a m o f x x Frequency 8 0 1 0 0 1 2 0 1 4 0 1 6 0 1 8 0 0 10 20 30 40

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What You Should Learn Being able to draw pie charts, bar charts, time
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