Level

1

Means

Practice Means

Balancing

Practice Balancing

Distributions

Practice Distributions

Mean Values

Practice Mean Values

Finding Totals

Practice Finding Totals

Level

2

Predicting Means

Practice Predicting Means

Rebalancing

Practice Rebalancing

Asymmetric Distributions

Practice Asymmetric Distributions

Means of Lists

Practice Means of Lists

Level

3

Splitting

Practice Splitting

Finding Means

Practice Finding Means

Adding a Point

Practice Adding a Point

Updating Means

Practice Updating Means

Level

4

Comparisons

Practice Comparisons

Median

Practice Median

Finding Medians

Practice Finding Medians

Splitting

Practice Splitting

Medians of Lists

Practice Medians of Lists

Level

5

Adding a Point

Practice Adding a Point

Comparing Median and Mean

Practice Comparing Median and Mean

Modes

Practice Modes

Middle 50%

Practice Middle 50%

Segmenting Data

Practice Segmenting Data

Level

6

Quartiles

Practice Quartiles

Interquartile Range

Practice Interquartile Range

Quartiles of Lists

Practice Quartiles of Lists

Boxplots

Practice Boxplots


Course description

Our journey begins with an interactive introduction to common measures of central tendency—mean, median, and mode. You’ll discover how these measures shift when you add new data or analyze entire datasets—using intuitive techniques that sidestep complex calculations. Next, we dive deeper into visualizing and comparing datasets—exploring variability (range, quartiles, and standard deviation) and examining how these measures reflect the shape of your data. By calculating quartiles, interpreting the interquartile range, and spotting outliers in boxplots, you’ll sharpen your analytical thinking and deepen your understanding of data behavior. This course equips you with essential data‑summary skills and visualization tools, fueling your STEM journey with strong data literacy and renewed confidence.


Topics covered

  • Descriptive Statistics
  • Averages
  • Means
  • Median
  • Mode
  • Central Tendency
  • Sales data
  • Number Sense
  • Revenue
  • Quartiles
  • Percentiles
  • Interquartile Range
  • IQR
  • Datasets
  • Data Visualization
  • Bar charts
  • Dot plots
  • Standard deviation
  • Box and whisker plots

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