Maple für Professional
Maple für Akademiker
Maple für Studenten
Maple Personal Edition
Maple Player
Maple Player für iPad
MapleSim für Professional
MapleSim für Akademiker
Maple T.A. - Testen & beurteilen
Maple T.A. MAA Placement Test Suite
Möbius - Online-Courseware
Machine Design / Industrial Automation
Luft- und Raumfahrt
Fahrzeugtechnik
Robotics
Energiebranche
System Simulation and Analysis
Model development for HIL
Anlagenmodelle für den Regelungsentwurf
Robotics/Motion Control/Mechatronics
Other Application Areas
Mathematikausbildung
Technik
Allgemein- und berufsbildende Schulen
Testen und beurteilen
Studierende
Finanzmodelle
Betriebsforschung
Hochleistungsrechnen
Physik
Live-Webinare
Aufgezeichnete Webinare
Geplante Veranstaltungen
MaplePrimes
Maplesoft-Blog
Maplesoft-Mitgliedschaft
Maple Ambassador Program
MapleCloud
Technische Whitepapers
E-Mail Newsletters
Maple-Bücher
Math Matters
Anwendungs-Center
MapleSim Modell-Galerie
Anwenderberichte
Exploring Engineering Fundamentals
Lehrkonzepte mit Maple
Maplesoft Welcome-Center
Resource-Center für Lehrer
Help-Center für Studierende
Alphabetical List of Statistics Commands
Commands
Here is the list of all commands available in the Statistics package.
AbsoluteDeviation
compute the average absolute deviation
AgglomeratedPlot
generate agglomerated plots
AreaChart
create area charts from data
AutoCorrelation
compute autocorrelations
BarChart
create bar charts from data
Bootstrap
compute bootstrap statistics
BoxPlot
create box plots from data
BubblePlot
generate bubble plots
CDF
cumulative distribution function
CentralMoment
central moments
CGF
cumulant generating function
CharacteristicFunction
characteristic function
ChiSquareGoodnessOfFitTest
apply the chisquare test for goodness-of-fit
ChiSquareIndependenceTest
apply the chisquare test for independence in a matrix
ChiSquareSuitableModelTest
apply the chisquare suitable model test
ColumnGraph
create column graphs from data
Correlation
correlation/correlation matrix
Count
compute number/total weight of observations
CountMissing
compute number/total weight of missing values
Covariance
covariance/covariance matrix
CrossCorrelation
compute cross-correlations of two time series
Cumulant
cumulants
CumulantGeneratingFunction
CumulativeDistributionFunction
CumulativeProduct
compute cumulative products
CumulativeSum
compute cumulative sums
CumulativeSumChart
generate cumulative sum charts
DataSummary
seven summary statistics
Decile
deciles
DensityPlot
plot the density of a random variable
Distribution
create new distribution
ErrorPlot
generate error plots
EvaluateToFloat
evaluate data using floating-point arithmetic
Excise
remove data items based on density
ExpectedValue
compute expected values
ExponentialFit
fit an exponential function to data
ExponentialSmoothing
apply exponential smoothing to a data set
FailureRate
hazard (failure) rate
FisherInformation
Fisher information
Fit
fit a model function to data
FivePointSummary
five-point summary
FrequencyPlot
generate frequency plots
FrequencyTable
frequency table
GeometricMean
geometric mean
HarmonicMean
harmonic mean
HazardRate
Histogram
generate histograms
Information
statistical information
InteractiveDataAnalysis
display interactive interface to data analysis tools
InterquartileRange
interquartile range
InverseSurvivalFunction
inverse survival function
Join
join data samples
KernelDensity
estimate the probability density of a data set
KernelDensityPlot
plot the kernel density estimate of a data set
KernelDensitySample
sample a kernel density estimate
Kurtosis
kurtosis
Likelihood
likelihood function
LikelihoodRatioStatistic
compute the likelihood ratio statistic
LinearFilter
apply linear filter to a data set
LinearFit
fit a linear model function to data
LineChart
generate line charts
LogarithmicFit
fit a logarithmic function to data
LogLikelihood
log likelihood function
MakeProcedure
generate a procedure for calculating statistical quantities
MaximumLikelihoodEstimate
compute the maximum likelihood estimate
Mean
arithmetic mean
MeanDeviation
average absolute deviation from the mean
Median
median
MedianDeviation
compute the median absolute deviation
MGF
moment generating function
MillsRatio
Mills ratio
Mode
mode
Moment
moments
MomentGeneratingFunction
MovingAverage
compute moving averages for a data set
MovingMedian
compute moving medians for a data set
MovingStatistic
compute moving statistics for a data set
NonlinearFit
fit a nonlinear model function to data
NormalPlot
generate normal plots
OneSampleChiSquareTest
apply the one sample chisquare-test for the population standard deviation
OneSampleTTest
apply the one sample t-test for the population mean
OneSampleZTest
apply the one sample z-test for the population mean
OneWayANOVA
generate a one-way ANOVA table
OrderByRank
order data items according to their ranks
OrderStatistic
order statistics
PDF
probability density function
Percentile
percentiles
PieChart
generate pie charts
PointPlot
generate point plots
PolynomialFit
fit a polynomial to data
PowerFit
fit a power function to data
Probability
compute the probability of an event
ProbabilityDensityFunction
ProbabilityFunction
probability function
ProbabilityPlot
generate probability plots
ProfileLikelihood
plot a profile of the likelihood function
ProfileLogLikelihood
plot a profile of the log likelihood function
QuadraticMean
quadratic mean
Quantile
compute quantiles
QuantilePlot
generate quantile-quantile plots
Quartile
quartiles
RandomVariable
create new random variable
Range
range
Rank
rank data items according to their numeric values
Remove
remove data items satisfying a condition
RemoveInRange
remove data items which belong to the given range
RemoveNonNumeric
remove non-numeric values
Sample
generate random sample
ScatterPlot
generate scatter plots
ScatterPlot3D
generate 3D scatter plots
Score
statistical score
Select
select data items satisfying a condition
SelectInRange
select data items which belong to the given range
SelectNonNumeric
select non-numeric values
ShapiroWilkWTest
apply Shapiro and Wilk's W-test for normality
Shuffle
apply random permutation to a data sample
Skewness
skewness
Sort
sort numeric data
SplitByColumn
split matrix
StandardDeviation
standard deviation
StandardError
standard error of the sampling distribution
StandardizedMoment
standardized moments
SunflowerPlot
generate sunflower plots
Support
support set of a random variable
SurfacePlot
generate surface plots
SurvivalFunction
survival function
SymmetryPlot
generate symmetry plots
Tally
compute data frequencies
TallyInto
compute cumulative data frequencies
Trim
trim data set
TrimmedMean
trimmed mean
TwoSampleFTest
apply the two sample F-test for population variances
TwoSamplePairedTTest
apply the paired t-test for population means
TwoSampleTTest
apply the two sample t-test for population means
TwoSampleZTest
apply the two sample z-test for population means
Variance
variance
Variation
coefficient of variation
WeightedMovingAverage
compute weighted moving averages for a data set
Winsorize
winsorize data set
WinsorizedMean
winsorized mean
See Also
Statistics
Download Help Document