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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