Statistics and data
Reading tables, polls and charts, and spotting where percentages mislead.
- Statistics and data
Row, column and total percentages in a data table
In a two-way table you can divide by the row total, the column total or the grand total. Each answers a different question. All three worked on one survey table.
- Statistics and data
Relative frequency and cumulative percentages
Turn raw counts into a percentage distribution: relative frequency is each count ÷ the total, and cumulative percentage is the running total of those. A worked frequency table.
- Statistics and data
How to average percentages correctly
A simple average of percentages is only right when every group is the same size. How to weight by group size, with a worked example and the shortcut of going back to the counts.
- Statistics and data
Reading poll percentages: what the margin of error means
What a poll's margin of error means, the standard formula for a proportion, values for common sample sizes, and why a lead between two candidates needs roughly double the margin.
- Statistics and data
How charts make percentage changes look bigger than they are
A bar chart that starts its axis above zero can make a 3.9% rise look like a tripling. How truncated axes, cropped time ranges and mixed scales distort percentage changes, and how to check.
- Statistics and data
Why percentages don't always add up to 100
Rounded shares can total 99% or 101%, and multi-answer questions can total far more. Why it happens, when it signals an error, and how to round so the parts add up to exactly 100%.
- Statistics and data
Comparing groups of different sizes: percentages and rates per 1,000
Raw counts mislead when groups differ in size. Convert to a percentage or a rate per 1,000 so a town of 8,500 and a city of 120,000 can be compared fairly. Worked examples and formulas.
- Statistics and data
Simpson's paradox: when the overall percentage tells the opposite story
A treatment can win in every subgroup and still lose overall. A worked example of Simpson's paradox with two hospitals, why the combined percentage flips, and how to spot it in your own data.
- Statistics and data
Index numbers: setting a base of 100 to compare growth
Rebase any series to 100 to compare growth on one scale. Index = value ÷ base value × 100. Worked example comparing house prices and wages, plus how to read index changes correctly.
- Statistics and data
Relative risk vs absolute risk in health headlines
“Cuts your risk by 50%” can mean going from 2 in 1,000 to 1 in 1,000. How to convert relative risk to absolute risk, why percentage points matter, and what number needed to treat means.