Interested in this course?

Add your email to the mailing list to get notified when this course becomes available.

Thank You

What students learn

In this lesson, students develop understanding of statistical variability and learn to summarize and describe distributions.

  • Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.

  • Display numerical data in plots on a number line, including dot plots, histograms, and box plots.

  • Summarize numerical data sets in relation to their context.

Course curriculum

    1. Why do we need statistics?

    2. What is a statistical question?

    3. Numerical and categorical variables

    4. Distribution of a data set

    1. Summarizing data with frequency distribution tables

    2. Summarizing data with dot plots

    3. Using dot plots to answer statistical questions

    4. Drawing a histogram from the frequency distribution table

    5. Summarizing data using histograms

    6. Using histograms to answer statistical questions

    7. Why choose histograms over dot plots?

    8. Interpretating histrograms with various shapes

    1. Building frequency tables and bar diagrams

    2. How is bar diagram different from histogram?

    3. Mode of a distribution

    1. Mean as the center of a distribution

    2. Understanding mean in terms of “fair share” or “leveling out”

    3. Understanding mean as the balance point of a distribution

    4. Does mean alone define the center of distribution

    5. Measuring variability using Mean Absolute Deviation (MAD)

    6. Interpreting MAD

    1. Median as the center of distribution

    2. Median on the dot plot

    3. Mean and median - what do they tell us?

    4. Interquartile range (IQR) to measure variability

    5. The five-number summary to describe a distribution

    6. Box plot to represent five number summary

    7. Comparing distributions using box plots

    1. Mean vs median to measure the center of distribution

    2. The shape of the distribution in describing mean and median

    3. Effects of outliers on the mean and the median

About this course

  • 32 lessons