"Frequencies distributions" are statistical concepts describing how often specific events or values occur within a sample or population. They help to understand and analyze patterns, trends, and characteristics of data.
Typical functions of software in the "frequencies distributions" domain are:
Calculation of frequencies: The software calculates the frequency of occurrence of different events, values, or categories within a dataset.
Creation of histograms: It generates histograms to graphically represent and visualize the distribution of data.
Calculation of statistics: The software computes statistical metrics such as mean, median, mode, variance, and standard deviation to characterize the central tendency and dispersion of data.
Representation of probability distributions: It allows for the representation of various probability distributions such as normal distribution, Poisson distribution, or binomial distribution to model and analyze the distribution of data.
Fitting distributions to data: The software fits mathematical distribution functions to the data to assess whether they follow a known distribution and to make predictions or estimates.
Statistical tests: It performs statistical tests such as the chi-square test, Kolmogorov-Smirnov test, or Anderson-Darling test to assess the fit of data to a particular distribution.
Interactive analysis tools: The software provides interactive analysis tools and dashboards to enable users to conduct flexible and comprehensive analysis of frequency distributions.