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The High School Statistics Course contains 70 self-grading microlearning lessons that you can use instantly in your Learning Management System (LMS).

High School Statistics covers the scope and sequence requirements of a typical one-year statistics course. The course provides comprehensive coverage of statistical concepts, including quantitative examples, collaborative activities, and practical applications. High School Statistics was designed to meet and exceed the requirements of the relevant Texas Essential Knowledge and Skills (TEKS), while allowing significant flexibility for instructors.

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  • Definitions of Statistics, Probability, and Key Terms
  • Data, Sampling, and Variation in Data and Sampling
  • Frequency, Frequency Tables, and Levels of Measurement
  • Experimental Design and Ethics
  • Final Assessment
  • Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
  • Histograms, Frequency Polygons, and Time Series Graphs
  • Measures of the Location of the Data
  • Box Plots
  • Measures of the Center of the Data
  • Skewness and the Mean, Median, and Mode  
  • Measures of the Spread of the Data
  • Final Assessment
  • Terminology
  • Independent and Mutually Exclusive Events
  • Two Basic Rules of Probability
  • Contingency Tables
  • Tree and Venn Diagrams
  • Final Assessment
  • Probability Distribution Function (PDF) for a Discrete Random Variable
  • Mean or Expected Value and Standard Deviation
  • Binomial Distribution
  • Geometric Distribution
  • Hypergeometric Distribution
  • Poisson Distribution
  • Final Assessment
  • Continuous Probability Functions
  • The Uniform Distribution
  • The Exponential Distribution
  • Final Assessment
  • The Standard Normal Distribution
  • Using the Normal Distribution
  • Final Assessment
  • The Central Limit Theorem for Sample Means (Averages)
  • The Central Limit Theorem for Sums
  • Using the Central Limit Theorem
  • Final Assessment
  • A Single Population Mean using the Normal Distribution
  • A Single Population Mean using the Student t Distribution
  • A Population Proportion
  • Final Assessment
  • Null and Alternative Hypotheses
  • Outcomes and the Type I and Type II Errors
  • Distribution Needed for Hypothesis Testing
  • Rare Events, the Sample, Decision and Conclusion
  • Additional Information and Full Hypothesis Test Examples
  • Final Assessment
  • Two Population Means with Unknown Standard Deviations
  • Two Population Means with Known Standard Deviations
  • Comparing Two Independent Population Proportions
  • Matched or Paired Samples
  • Final Assessment
  • Facts About the Chi-Square Distribution
  • Goodness-of-Fit Test
  • Test of Independence
  • Test for Homogeneity
  • Comparison of the Chi-Square Tests
  • Final Assessment
  • Linear Equations
  • The Regression Equation
  • Testing the Significance of the Correlation Coefficient
  • Prediction
  • Outliers
  • Final Assessment
  • One-Way ANOVA
  • The F Distribution and the F-Ratio
  • Facts About the F Distribution
  • Test of Two Variances
  • Final Assessment

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