Chapter 2

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Chapter 2Describing, Exploring, and Comparing DataImportant Characteristics of Data Describes the overall pattern of a distribution : Center Divides the data in half Spread Differences between the data Shape Skewnessof the data Outlier Data that falls outside of the pattern Data Distributions Graphs displays distribution Numbers describe the distributionLesson 2-2Frequency DistributionFrequency DistributionGradesFrequencyA (100 90)5B ( 89 80)8C ( 79 70)4D ( 69 60)5F (59 50)3A frequency distribution lists the number of occurrences for each category of Class LimitsUpper Class LimitsExample Page 44, #2Systolic BloodPressure of WomenFrequency80 999100 11924120 1395140 1591160 1790180 1991Identify the class width, class midpoints, and classboundaries for the given frequency Page 44, #2Blood PressureFrequency80 999100 11924120 1395140 1591160 1790180 1991Find the class 80 20 Example Page 44, #2Blood PressureClass MidpointsClass Boundaries80 99100 119120 139140 159160 179180 19980 Relative frequency distribution The relative frequency is the proportion or percent of observations within a category and is found using the formula Reasons for Constructing frequency Distributions Large data sets can be summarized.

Chapter 2 Describing, Exploring, and Comparing Data. ... Outlier Data that falls outside of the pattern Data Distributions ... Construct the relative frequency distribution #2 9 0.225 22.5% 40 60.0% 12.5% 2.5% 0.0% 2.5% 100%. Cumulative Frequency Distribution

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