Mathematics category

Statistics calculators

Data summaries, uncertainty, measurement and practical quantitative models.

1288 calculators in this category. Page 11 of 27.

descriptive statisticsmeasurementapplied models
Statistics

Rank-Biased Precision Persistence Weight

Calculate persistence weight from persistence probability and zero-based rank exponent.

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Statistics

Rank-Biased Precision Persistence Weight: solve persistence probability

Rearrange the rank-biased precision persistence weight relationship and solve for persistence probability.

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Statistics

Rank-Biased Precision Persistence Weight: solve zero-based rank exponent

Rearrange the rank-biased precision persistence weight relationship and solve for zero-based rank exponent.

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Statistics

Expected Reciprocal-Rank Continuation Contribution

Calculate continuation contribution from probability user reaches selected rank and relevance or satisfaction probability at rank.

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Statistics

Expected Reciprocal-Rank Continuation Contribution: solve probability user reaches selected rank

Rearrange the expected reciprocal-rank continuation contribution relationship and solve for probability user reaches selected rank.

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Statistics

Expected Reciprocal-Rank Continuation Contribution: solve relevance or satisfaction probability at rank

Rearrange the expected reciprocal-rank continuation contribution relationship and solve for relevance or satisfaction probability at rank.

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Statistics

Pairwise Ranking Concordance Percentage

Calculate pairwise concordance percentage from correctly ordered comparable pairs and total comparable pairs.

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Statistics

Pairwise Ranking Concordance Percentage: solve correctly ordered comparable pairs

Rearrange the pairwise ranking concordance percentage relationship and solve for correctly ordered comparable pairs.

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Statistics

Pairwise Ranking Concordance Percentage: solve total comparable pairs

Rearrange the pairwise ranking concordance percentage relationship and solve for total comparable pairs.

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Statistics

Time-Series Simple Moving Average

Calculate moving-average value from sum of values in current window and observations in window.

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Statistics

Time-Series Simple Moving Average: solve sum of values in current window

Rearrange the time-series simple moving average relationship and solve for sum of values in current window.

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Statistics

Time-Series Simple Moving Average: solve observations in window

Rearrange the time-series simple moving average relationship and solve for observations in window.

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Statistics

Mean Forecast Error

Calculate mean forecast error from sum of signed forecast errors and forecast observation count.

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Statistics

Mean Forecast Error: solve sum of signed forecast errors

Rearrange the mean forecast error relationship and solve for sum of signed forecast errors.

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Statistics

Mean Forecast Error: solve forecast observation count

Rearrange the mean forecast error relationship and solve for forecast observation count.

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Statistics

Forecast Mean Absolute Percentage Error

Calculate mape percentage from sum of absolute percentage errors and eligible forecast count.

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Statistics

Forecast Mean Absolute Percentage Error: solve sum of absolute percentage errors

Rearrange the forecast mean absolute percentage error relationship and solve for sum of absolute percentage errors.

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Statistics

Forecast Mean Absolute Percentage Error: solve eligible forecast count

Rearrange the forecast mean absolute percentage error relationship and solve for eligible forecast count.

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Statistics

Symmetric Mean Absolute Percentage Error

Calculate smape percentage from one-hundred times summed absolute errors and sum of absolute actual-plus-forecast magnitudes.

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Statistics

Symmetric Mean Absolute Percentage Error: solve one-hundred times summed absolute errors

Rearrange the symmetric mean absolute percentage error relationship and solve for one-hundred times summed absolute errors.

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Statistics

Symmetric Mean Absolute Percentage Error: solve sum of absolute actual-plus-forecast magnitudes

Rearrange the symmetric mean absolute percentage error relationship and solve for sum of absolute actual-plus-forecast magnitudes.

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Statistics

Forecast Tracking Signal

Calculate tracking signal from cumulative signed forecast error and mean absolute deviation.

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Statistics

Forecast Tracking Signal: solve cumulative signed forecast error

Rearrange the forecast tracking signal relationship and solve for cumulative signed forecast error.

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Statistics

Forecast Tracking Signal: solve mean absolute deviation

Rearrange the forecast tracking signal relationship and solve for mean absolute deviation.

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Statistics

Theil Forecast U Ratio

Calculate theil u ratio from model forecast rmse and naive benchmark rmse.

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Statistics

Theil Forecast U Ratio: solve model forecast RMSE

Rearrange the theil forecast u ratio relationship and solve for model forecast rmse.

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Statistics

Theil Forecast U Ratio: solve naive benchmark RMSE

Rearrange the theil forecast u ratio relationship and solve for naive benchmark rmse.

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Statistics

Multiplicative Seasonal Index

Calculate seasonal index from season-specific average and overall series average.

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Statistics

Multiplicative Seasonal Index: solve season-specific average

Rearrange the multiplicative seasonal index relationship and solve for season-specific average.

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Statistics

Multiplicative Seasonal Index: solve overall series average

Rearrange the multiplicative seasonal index relationship and solve for overall series average.

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Statistics

Lag Autocorrelation Coefficient

Calculate autocorrelation coefficient from lagged autocovariance and zero-lag variance.

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Statistics

Lag Autocorrelation Coefficient: solve lagged autocovariance

Rearrange the lag autocorrelation coefficient relationship and solve for lagged autocovariance.

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Statistics

Lag Autocorrelation Coefficient: solve zero-lag variance

Rearrange the lag autocorrelation coefficient relationship and solve for zero-lag variance.

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Statistics

Forecast Skill Score against Reference

Calculate forecast skill score from model error score and reference forecast error score.

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Statistics

Forecast Skill Score against Reference: solve model error score

Rearrange the forecast skill score against reference relationship and solve for model error score.

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Statistics

Forecast Skill Score against Reference: solve reference forecast error score

Rearrange the forecast skill score against reference relationship and solve for reference forecast error score.

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Statistics

Time-Series Resampling Interval Factor

Calculate resampling interval factor from new sampling interval and original sampling interval.

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Statistics

Time-Series Resampling Interval Factor: solve new sampling interval

Rearrange the time-series resampling interval factor relationship and solve for new sampling interval.

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Statistics

Time-Series Resampling Interval Factor: solve original sampling interval

Rearrange the time-series resampling interval factor relationship and solve for original sampling interval.

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Statistics

Moran Spatial Autocorrelation Index

Calculate moran i from normalized weighted cross-deviation numerator and squared-deviation denominator.

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Statistics

Moran Spatial Autocorrelation Index: solve normalized weighted cross-deviation numerator

Rearrange the moran spatial autocorrelation index relationship and solve for normalized weighted cross-deviation numerator.

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Statistics

Moran Spatial Autocorrelation Index: solve squared-deviation denominator

Rearrange the moran spatial autocorrelation index relationship and solve for squared-deviation denominator.

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Statistics

Geary Spatial Autocorrelation Ratio

Calculate geary c from normalized weighted pairwise squared-difference sum and squared-deviation reference sum.

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Statistics

Geary Spatial Autocorrelation Ratio: solve normalized weighted pairwise squared-difference sum

Rearrange the geary spatial autocorrelation ratio relationship and solve for normalized weighted pairwise squared-difference sum.

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Statistics

Geary Spatial Autocorrelation Ratio: solve squared-deviation reference sum

Rearrange the geary spatial autocorrelation ratio relationship and solve for squared-deviation reference sum.

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Statistics

Getis–Ord Spatial Standard Score

Calculate getis–ord z score from observed-minus-expected spatial statistic and null standard deviation.

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Statistics

Getis–Ord Spatial Standard Score: solve observed-minus-expected spatial statistic

Rearrange the getis–ord spatial standard score relationship and solve for observed-minus-expected spatial statistic.

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Statistics

Getis–Ord Spatial Standard Score: solve null standard deviation

Rearrange the getis–ord spatial standard score relationship and solve for null standard deviation.

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