Mileage Calculator
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Full descriptive statistics with quartiles, spread and outliers.
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Values beyond 1.5 × IQR from the quartiles.
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Centre
Spread
Five-number summary
Shape and totals
The Statistics Calculator produces a full descriptive summary of a data set in one pass: count, sum, mean, median, mode, range, variance, standard deviation, the five-number summary, the interquartile range and the outliers. Both sample and population forms are shown, because choosing the wrong one is the classic introductory mistake.
Paste a list of numbers and get the full descriptive summary in one pass: count, sum, mean, median, mode, range, variance, standard deviation, the five-number summary and the interquartile range.
Outliers are identified using the standard 1.5 times IQR rule and listed separately, because spotting them is usually the first useful thing you do with a data set. Skewness tells you which way the distribution leans, and a text histogram gives you the shape at a glance. Both the sample and population forms of variance and standard deviation are shown, since choosing the wrong one is the most common error in an introductory statistics course.
Centre, spread and shape are reported together instead of one statistic per calculation.
The standard 1.5 × IQR rule is applied and the offending values are listed, which is usually the first useful thing you do with a data set.
Both versions of variance and standard deviation are shown, so you can pick the right one deliberately.
Minimum, Q1, median, Q3 and maximum, plus the interquartile range, ready for a box plot.
Which way the distribution leans, and its shape at a glance, without opening a spreadsheet.
Separate values with commas, spaces or line breaks. A spreadsheet column pastes straight in.
Every descriptive statistic is calculated at once, grouped into centre, spread and shape.
Values beyond 1.5 times the interquartile range from the quartiles are flagged and listed.
The minimum, first quartile, median, third quartile and maximum. Together they describe the centre and spread of a data set and are what a box plot is drawn from.
The third quartile minus the first, covering the middle 50 percent of the data. It is a measure of spread that ignores extreme values, which makes it more robust than the range.
By the standard rule: anything below the first quartile minus 1.5 times the IQR, or above the third quartile plus 1.5 times the IQR, is flagged as an outlier.
Use sample statistics, which divide by n minus 1, when your data is a subset drawn from a larger group. Use population statistics, dividing by n, only when you have measured every member. Both are shown.
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Write the first reviewMileage reimbursement and the real cost of a trip.
How cold it feels, and frostbite risk at that temperature.
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Arithmetic, geometric and Fibonacci terms and sums.
Prime factors, exponent form and a factor tree.