Examining Numerical and Categorical Data Class Chapters 2.1-2.2 PDF
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Summary
These notes cover concepts in exploring numerical and categorical data types, including summaries like mean, median, variance, standard deviation, and outliers. Visualizations like bar plots and histograms are also discussed, along with contingency tables. It's a good resource for students of introductory statistics.
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Ch 1.3 1.4 11 59 pm extending to Sunday will do this after class in it x̅ x̅ 4...
Ch 1.3 1.4 11 59 pm extending to Sunday will do this after class in it x̅ x̅ 4 31,511 1 we dont know µ usually of sample statistic and it serves a point estimate Fuscrines the population mean that 494mn x̅ egmate µ it is usually a good estimate modality skewness shape of the data outhers I 200 150 M o 1mm unimodal bimodal multimodal uniform FA right skewed left skewed symmetric skewed to the side of the long tail Observation far away from 0 2 population variance variance in.it I n Ean se itiii data iiiitiiiiii is 5 552 data far the useful when considering how are distributed from the mean 1 1 3 5 71 x̅ 4 X 9 2300 1113 41247412 1 15 52 311 of an observation from its deviation distance mean 5 4 1,3 5 7 3 4 3 5 y 1 5 7 7 4 3 the data in the value that splits A half ordered when 0 4 median 2 Y L 345 2.5 Xmd 2123 52 Q 1st quartile If you scored in the 25ᵗʰ percentile this of test scores are the same or less means 25 than yours Median or Q2 2nd quartile Q3 or 3ʳᵈ quartile Q another measure I QR 3 of spread the middle 50T of the data anatomy of a boxplot outliers whisker 93 1.5 IQR upper Q3 Q2 or median Tf r 1 5 IQR 1.5 Q Q1 3 1.5 IQR Q 1 5LIQR the max reach of a whisker beyond or smaller than Q1 1 5 IQR bigger than 03 1.5 IQR data collection errors 1 Identify into feautures of data insight 2 Provide withraws 100 a week usually a person from bank withdrew 10,000 today they could indicate fraudulent activity 3 QUARTILE 3 Q QUARTILE 1 have little extreme observations on the value of the statistic effect median 2 Ex 14,2 21 3 Q 2.25 01 1.25 2 5 112 2 3 2.25 1.75 x̅ I QR Median I QR Mean variance 2 5 2 67 2 1 6 80.5 52 1 12 2 13 212 213112 1 67 3 110130 11.4 3,22 30 6 x̅ 1 2 21 253 Q3 3 Q1 2 median 2 Q3 Q 3 2 1 I QR 61 13 6 52 612 12 6222422 121612 80 5 9 256 2516716 mean median 1 2,2 3,22 mean mean median median iÉi is to is Tds left skewed mean median
