• K.1. Finding Measures of Central Tendency and Dispersion

    1. K.1.M. Play Multiplayer 0 wins, 0 losses

    2. K.1.Q. Unit Challenge

    3. K.1.1. Measures of Central Tendency

      1. K.1.1.1. Finding the Mean, Median, and Mode of a Data Set
    4. K.1.2. Measures of Dispersion

      1. K.1.2.1. Finding the Range and Standard Deviation of a Data Set
      2. K.1.2.2. Finding Outliers of a Data Set
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  • K.2. Normal Distributions

    1. K.2.M. Play Multiplayer 0 wins, 0 losses

    2. K.2.Q. Unit Challenge

    3. K.2.1. The Normal Curve

      1. K.2.1.1. Finding Probability Under a Normal Curve
      2. K.2.1.2. Interpreting Normally Distributed Data
    4. K.2.2. The Standard Normal Distribution

      1. K.2.2.1. Finding Z-Scores Given Data
      2. K.2.2.2. Finding Probability Using Z-Scores and the Standard Normal Table
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  • K.3. Selecting and Drawing Conclusions from Samples

    1. K.3.M. Play Multiplayer 0 wins, 0 losses

    2. K.3.Q. Unit Challenge

    3. K.3.1. Sampling Techniques

      1. K.3.1.1. Classifying the Type of Sampling Technique Used Given a Study
    4. K.3.2. Sampling Bias

      1. K.3.2.1. Identifying the Study with Sampling Bias
    5. K.3.3. Margin of Error

      1. K.3.3.1. Finding the Margin of Error Given Sample Size
      2. K.3.3.2. Finding the Sample Size Given Margin of Error
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  • K.4. Choosing the Best Model for Two-Variable Data

    1. K.4.M. Play Multiplayer 0 wins, 0 losses

    2. K.4.Q. Unit Challenge

    3. K.4.1. Using the Best Model for Two-Variable Data

      1. K.4.1.1. Using a Linear Model for Two-Variable Data
      2. K.4.1.2. Using an Exponential Model for Two-Variable Data
      3. K.4.1.3. Using a Quadratic Model for Two-Variable Data
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