Statistical class

Statistical class

Constructors

Statistical()

Create a new object that provide all statistical methods.

const

Properties

hashCode → int

The hash code for this object.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

arrCovariance(List<num> num1, List<num> num2) → num?

The sample mean and sample covariance are estimators of the population mean and population covariance, where the term population refers to the set from which the sample was taken.

arrGeometricMean(List<num> numbers) → num

In mathematics, the geometric mean is a mean or average, which indicates the central tendency or typical value of a set of numbers by using the product of their values (as opposed to the arithmetic mean which uses their sum). The geometric mean is defined as the nth root of the product of n numbers, i.e., for a set of numbers x1, x2, ..., xn.

arrHarmonicMean(List<num> numbers) → num

In mathematics, the harmonic mean (sometimes called the subcontrary mean) is one of several kinds of average, and in particular, one of the Pythagorean means. Typically, it is appropriate for situations when the average of rates is desired.

arrMax(List<num> numbers) → num

Return the biggest value of the numbers.

arrMean(List<num> numbers) → num

There are several kinds of mean in mathematics, especially in statistics. In probability and statistics, the population mean, or expected value, is a measure of the central tendency either of a probability distribution or of the random variable characterized by that distribution

arrMedian(List<num> numbers) → num

In statistics and probability theory, a median is a value separating the higher half from the lower half of a data sample, a population or a probability distribution. For a data set, it may be thought of as "the middle" value.

arrMin(List<num> numbers) → num

Return the smallest value of the numbers list.

arrMode(List<num> numbers) → num

The mode of a set of data values is the value that appears most often.1 If X is a discrete random variable, the mode is the value x (i.e, X = x) at which the probability mass function takes its maximum value. In other words, it is the value that is most likely to be sampled.

arrStdDeviation(List<num> numbers) → num

In statistics, the standard deviation is a measure of the amount of variation or dispersion of a set of values

arrSum(List<num> numbers) → num

The sum of all numbers

arrVariance(List<num> numbers) → num

In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its mean. Informally, it measures how far a set of numbers are spread out from their average value.

binomial(num trials, num successes, num probofsuccess) → num

In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiments, each asking a yes–no question, and each with its own boolean-valued outcome: success/yes/true/one (with probability p) or failure/no/false/zero (with probability q = 1 − p). A single success/failure experiment is also called a Bernoulli trial or Bernoulli experiment and a sequence of outcomes is called a Bernoulli process; for a single trial, i.e., n = 1, the binomial distribution is a Bernoulli distribution. The binomial distribution is the basis for the popular binomial test of statistical significance.

factorial(int number) → num

In mathematics, the factorial of a positive integer n, denoted by n!, is the product of all positive integers less than or equal to n.

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited