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Statistics Chapter 1: Exploring Data 1.1 Displaying Distributions with Graphs Individuals Objects that are described by a set of data Variables Any characteristic of an individual Types of variables • Categorical variables • Record which of several groups or categories to which an individual belong • Quantitative variables • Take numerical values on which arithmetical operations can be performed Distribution of variable: values are taken by the variable and the frequency of the values Charts representing data Bar chart Pie chart Dot plot Histogram Stemplots timeplots Distributions Description of overall pattern: center?? spread?? shape?? symmetry?? outliers?? skewed?? 1.2 Describing Distributions with Numbers Measuring Center The MEAN x The MEDIAN The MODE Measuring Spread or Variability Quartiles Standard Deviation s Other Measurements Interquartile range IQR Range Q3 – Q1 Max – Min Q3 1.5 IQR Outliers Q1 1.5 IQR Other Measurements Five Number Summary: Minimum, Q1, Median, Q3, Maximum Boxplot, Modified Boxplot, Side-byside boxplots Properties of the Standard Deviation s measures spread by looking at how far the observations are from their mean. Used when mean is chosen as the measure of center If there is no spread, s = 0. This means that all observations have the same value. Strongly influenced by extreme values. s2 is called variance.