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

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

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

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

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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