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GraphPad Prism Main Key Features:

Searchable analyses in the Analyze Data dialog for faster access
And many more enhancements
Automatically updates the results and graphs.
Edit your graphs in illustration software.
Graphs with improved snapping behavior of axis titles
Advanced linear regression and correlation test.
A graphical user interface will use most.
Now it reduces the boring steps to graph and analyzes the set of experiments.
There are unlimited ways to customize your graphs.
Quantify the symmetry of imprecision with Hougaard’s skewness.
Plot confidence or prediction bands.
Test normality of residuals.
Runs or replicates test of the adequacy of the model.
Report the covariance matrix or set of dependencies.
New kinds of statistical analyses
In addition, New kinds of graphs, and many more.
More bug fixing and improvements.
Graph Portfolio with new color schemes and other improvements
Hundreds of smaller updates.
New resizable interface and layout options.

Statistical Comparisons:

Matched or unpaired t-test. Reports the P-esteem and the certainty span.
Consequently produces a fountain of liquid magma charts (contrasts from P esteems) from different t-test examines.
Nonparametric Mann-Whitney test, including certainty spans for contrasts in medians.
Kolmogorov-Smirnov test to look at two gatherings.
Wilcoxon test with middle certainty spans.
Nursery Geiser revision so that rehashed estimations of one, two, and three-factor ANOVA don’t really accept roundness. In the event that this choice is chosen, the numerous examination test doesn’t accept roundness all things considered.
Kruskal-Wallis or Friedman unidirectional nonparametric ANOVA with Dunn’s post-test.
Fisher’s definite test or chi-square test. Ascertain the general danger and the proportion of chances with certainty stretches.
Two-way ANOVA, even with missing qualities with various post-tests.
Additionally, Three-way ANOVA (restricted to two levels in two variables and a few levels in the third).
Investigation of rehashed estimation information (one, two, and three bearings) utilizing a blended impacts model (like rehashed measures ANOVA, however, equipped for dealing with missing information).
Kaplan-Meier endurance examination. Contrast the bends and log-rank tests (counting pattern tests).
Think about information from settled information tables utilizing a settled t-test or a single-direction settled ANOVA (utilizing a blended impacts model).

Non-Linear Regression:

Enter a differential or understood condition.
Enter various conditions for various arrangements of information.
Worldwide nonlinear relapse – boundaries divided among datasets.
Solid nonlinear relapse.
Programmed recognizable proof or end of anomalies.
More, Think about the examples utilizing the F or AICc test for the number of extra squares.
Think about the settings between the datasets.
Apply limits.
Figure the even imprecision with the slant of the Hougaard.
Plotting convictions or expectation groups.
Remaining ordinariness test.
Run or repeat the model adequacy tests.
Indicate the covariance framework or the arrangement of conditions.