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Everyday Statistics

Reason about data and descriptive statistics in a practical context.

27 Lessons290 Exercises

Means

Balancing

Distributions

Mean Values

Finding Totals

Predicting Means

Rebalancing

Asymmetric Distributions

Means of Lists

Splitting

Finding Means

Adding a Point

Updating Means

Comparisons

Median

Finding Medians

Splitting

Medians of Lists

Adding a Point

Comparing Median and Mean

Modes

Middle 50%

Segmenting Data

Quartiles

Interquartile Range

Quartiles of Lists

Boxplots

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Probability and Chance

Use probability to make better decisions.

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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