Lesson 7: Variance and Standard Deviation

September 11, 2016

Mon, Sep 12

Review:

  • Percentiles and Boxplots

Presentation:

  • How to calculate Variance and Standard Deviation
    • See formulas on pp. 40-41
    • Example 1.19 on p. 41
    • Use female height data from Student Survey
  • Watch Standard Deviation Video

Activity:

  • Calculate Variance and Standard Deviation
    • Use your knowledge 1.53 on p. 42
    • Data set 1: {2, 4, 8, 4, 6, 2, 7, 8, 4, 3, 8, 9, 4, 3, 5}
    • Data set 2: {7, -2, 5, 9, 0, -3, -6, -7, -4, -5, 2, -8}
    • Data set 3: {213, 345, 609, 73, 167, 243, 444, 524, 199, 682}

Assignment:

  • Read pp. 40-44
  • Use Sheets to calculate standard deviation for the Selling Price variable in each of the 3 neighborhoods in the RE East Pueblo data set.

Justin

Justin Holman is CEO of Aftermarket Analytics, where he leads efforts to develop cutting edge sales forecasting and inventory optimization technology for the Automotive Aftermarket. Prior to joining Aftermarket Analytics, Justin managed corporate consulting for the Strategy & Analytics division at MapInfo Corporation, leading major projects for retail clients including The Home Depot, Darden Restaurants, Bridgestone-Firestone, Sainsbury’s and New York & Company. Before that, Justin served as Vice President of Software Development at LogicTools, now part of IBM's supply chain application software group. Justin holds a B.A. from Claremont McKenna College, a Ph.D. from the University of Oregon and an Executive Management certificate from Northwestern University's Kellogg School of Management.

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