Statistics Chapter 25 Key Characteristics of Data1.Center – a representative value that indicates where the middle of the data set is located2.Variation – a measure of the amount that the data values vary 3.Distribution – The nature or shape of the spread of the data over the rang of values (such as bell-shaped)4.Outliers – Sample values that lie very far away from the vast majority of the other sample values5.Time – Any change in the characteristics of the data over timeStudy Hint: CVDOTFrequency Distribution – shows how data are partitioned among several categories by listing the categories along with the number (frequency) of data values in each of them. Often helpful in organizing and summarizing data. Frequency – for a particular class is the number of original values that fall into that classProcedure for Constructing a Frequency Distribution-We construct frequency distributions so that we can:Summarize large data setsAnalyze the data to see the distribution and identify outliersHave a basis for constructing graphsSteps:1.Select # of classes2.Calculate the class width, (maximum data value) – (minimum data value) / number of classes3.Choose the value for the first lower class limit and the class width, list the other lower class limits4.Using the first lower class limit and the class width, list the other lower class limits5.List the lower class limits in a vertical column and then determine and enter the upper class limits6.

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