This statistical analysis software offers common data analysis and graphing functions for scientific and business research purposes.
Data analysis tasks that can be accomplished using KwikStat include descriptive statistics, comparative tests, correlation and regression analyses, frequencies and crosstabulations, survival analysis, among others. Descriptive statistics include features such as mean, standard deviation, variance, median, minimum, maximum, standard error of the mean, coefficient of variation, percentiles, Tukey 5 number summary, user specified confidence interval about the mean, by-group means on up to 1000 groups, among others.
Comparative tests in KwikStat include independent group and paired t-tests, independent group and repeated measures analysis of variance (ANOVA), Dunnett's test, non-parametric comparative tests such as Mann-Whitney, Kruskal Wallis, Freidman's, McNemar, Cochran's Q. The program features Tukey (HSD), Newman Keuls, and Scheffé multiple comparison procedures.
Correlation and regression analyses include simple linear regression, multiple linear regression, R-Square, Pearson's and Spearman's correlations, prediction, residual plots, correlation matrix, scatterplot matrix, among others. Frequency and crosstabulation analyses include goodness of fit, frequency distribution, crosstabulations, chi-square, odds ratio, relative risk, Fisher's exact test, Yate's correction, Phi, Cramer's V, and Contingency Coefficient.
Survival analyses that can be conducted using KwikStat include actuarial, Kaplan-Meier, and Mantel-Haenzel comparison of survival curves. Graphs that can be plotted using KwitStat include bar, area, line, dot and pie charts, boxplots, histogram, scatterplot, time series plots, 2-D and 3-D bar charts, XYZ 'spin' plot, stem-and-leaf display, interaction plots, among others. Lastly, KwikStat reads and writes dBase and ASCII files, enabling users to import data from any other program.
Version 4.1: N/A