A new software for carrying out one-way ANOVA post hoc tests

The objective of this study was to develop a convenient, easy to use stand-alone program to statistically process experimental data. The method involves user input of data for analysis into a grid format, followed by one-way analysis of variance (ANOVA) of the data to determine the F ratio. If the value of the F ratio is greater than the appropriate critical F distribution at α = 0.05, the null hypothesis is rejected, it is assumed that at least one of the group means is significantly different from the other group means, and it is valid to proceed with post hoc testing. A choice of four post hoc tests are available: Dunnett's, Fisher's, Scheffé's or Tukey's. The results of the post hoc test are displayed and can be printed for record keeping. The methodology developed in this present study should help scientists to carry out post hoc comparisons quickly and easily without the expense or time that commercial statistical packages require.