Minitab is a statistics computer program developed Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner at Pennsylvania State University in 1972. Minitab was developed as a light version of that time most famous statistical analysis program OMNITAB made by NIST.

Presently Minitab is distributed by Minitab Inc., a private company based in State College, Pennsylvania with three subsidiaries in Coventry, England, (Minitab Ltd.), Paris, France (Minitab SARL) and Sydney, Australia (Minitab Pty.). Today, it is frequently used with Six Sigma, CMMI and other statistics based process and methods. Since its first version, Minitab Inc. has released its 16 different version in order to make it more perfect, efficient and useful for the users.

Minitab-Homework-Help-ExpertsMinitab offers all features and utilities of statistics to make computation easy and painless. Some of its features are Data and File Management, Basic Statistics, Graphics, Regression Analysis, Analysis of Variance, Design of Experiments, Statistical Process Control, Measurement Systems Analysis, Reliability/Survival Analysis, Multivariate Analysis, Time Series and Forecasting, Nonparametric, Tables, Power and Sample Size, Simulation and Distributions, Macros and Customizability. Besides this, Minitab also provides an assistant and user friendly tools to make it easy for a common person. It gives facility to check each and every test, theorems, distribution and mathematical formulas of statistics including the use of various correlation coefficient, variables and functions.

Minitab comes with the inbuilt utilities to apply of various tests, distribution and user friendly graphical presentation tools such as Matrix functions, Spreadsheet-like worksheets, Query databases with ODBC, Data manipulation: merge, subset, sort, transpose, code, etc., Matrix functions, Correlation and covariance, Descriptive statistics, Goodness-of-fit test for Poisson, Normality test, One and two proportions tests, variances tests, One- and two-sample Poisson rate tests, t-tests, paired t-test, One-sample Z test, Interactively edit attributes (axes, labels, etc.), Probability and probability distribution plots, Binary, ordinal and nominal logistic regression, Easily create indicator variables, Linear, Nonlinear and Orthogonal regression, ANOVA, GLM, MANOVA, Response prediction, Individual distribution identification, Johnson transformation, Multi-Vari chart, Multivariate control charts: T-squared, generalized variance, MEWMA, Analysis of multiple failure modes and repairable systems, Threshold parameter distributions, Auto-, partial auto-, and cross correlation functions, Chi-square, Fisher’s exact, and other tests, Tally and cross tabulation, etc.

Normally Minitab is very useful for statistical calculations and data analysis. Our experts can help you with any assignment or homework related to Minitab.