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Modeling data distributions

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Calculating percentileAnalyzing a cumulative relative frequency graphCumulative relative frequency graph problem
Practice
Calculating percentilesGet 3 of 4 questions to level up!
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Normal distribution problem: z-scores (from ck12.org)Comparing with z-scoresZ-scores review
Practice
Calculating z-scoresGet 3 of 4 questions to level up!
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How parameters change as data is shifted and scaledTransforming data problem
Practice
Transforming dataGet 3 of 4 questions to level up!
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Density CurvesMedian, mean and skew from density curvesDensity curve worked exampleWorked example finding area under density curves
Practice
Properties of density curvesGet 3 of 4 questions to level up!
Area under density curvesGet 3 of 4 questions to level up!
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Qualitative sense of normal distributions (from ck12.org)Normal distribution problems: Empirical rule (from ck12.org)Standard normal distribution and the empirical rule (from ck12.org)More empirical rule and z-score practice (from ck12.org)Normal distributions review
Practice
Empirical ruleGet 3 of 4 questions to level up!
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Standard normal table for proportion belowStandard normal table for proportion aboveStandard normal table for proportion between valuesFinding z-score for a percentileThreshold for low percentileBasic normal calculations
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Normal calculations in reverseGet 3 of 4 questions to level up!
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Deep definition of the normal distributionNormal distribution excel exercise

About this unit

This unit takes our understanding of distributions to the next level. We'll measure the position of data within a distribution using percentiles and z-scores, we'll learn what happens when we transform data, we'll study how to model distributions with density curves, and we'll look at one of the most important families of distributions called Normal distributions.