Concept 10 of 10Foundation
Watch on YouTubeVideo📌 Formula Sheet — Data Handling
Statistics formulas with the thinking behind each.
Mean (average) = (Sum of values) / (Number of values)
Why: Imagine pooling everyone's share into one heap, then redistributing equally. Each person gets the total ÷ count.
⚠ Trap: Mean is pulled by extreme values. One outlier can move it a lot.
Sum = Mean × Number of values
Why: If each "share" = mean, and there are n shares, total = n × mean.
⚠ Trap: Use this when a problem says "mean of N numbers is X, one is missing" — compute total and subtract.
Median = middle value when data is SORTED
Why: Median splits the data into two equal halves. It's robust — doesn't care about size of extreme values, only their position.
⚠ Trap: You MUST sort the data first. Unsorted data gives a wrong 'median'.
Mode = most frequent value
Why: Mode spots the typical choice without caring about numeric size. Great for categorical data.
⚠ Trap: Data can have 0, 1, or many modes. If everything is unique, there's no mode.
Range = Maximum − Minimum
Why: It measures the gap between the two extremes — a rough sense of how spread out the data is.
⚠ Trap: Range is super sensitive to outliers. A single strange value can blow it up.
Pie chart: slice angle = (category value / total) × 360°
Why: A full circle = 360°. Each category gets a fraction of that, proportional to its share of the total.
⚠ Trap: All slice angles MUST sum to 360°. If they don't, you've miscounted or miscomputed.
Pictograph: value = (number of icons) × (icon-scale)
Why: Each icon is a shorthand for a fixed amount. Half an icon = half that amount.
⚠ Trap: Always read the LEGEND first. Two charts may use different scales.
💡 Tip:Mean, median, and mode all try to describe a 'typical' value — but pick the right one based on what you're studying.
▶Prefer a video? Open YouTube search for “mean median mode formula class 6 revision”↗