Average rating: GraphPad Prism was originally developed for experimental biologists in drug companies and medical schools, especially those in physiology and pharmacology. Prism is now used more commonly by all types of biologists, as well as physical and social scientists. More than It is also broadly used by graduate and undergraduate students.  Reports P values and confidence intervals. Automatically generate volcano plot difference vs. P value from multiple t test analysis. Nonparametric Mann-Whitney test, including confidence interval of difference of medians. Kolmogorov-Smirnov test to compare two groups.

Wilcoxon test with confidence interval of median. Perform many t tests at once, using False Discovery Rate or Bonferroni multiple comparisons to choose which comparisons are discoveries to study further. When this is chosen, multiple comparison tests also do not assume sphericity.

Fisher’s exact test or the chi-square test. Calculate the relative risk and odds ratio with confidence intervals. Analysis of repeated measures data one-, two-, and three-way using a mixed effects model similar to repeated measures ANOVA, but capable of handling missing data.

Kaplan-Meier survival analysis. Compare curves with the log-rank test including test for trend. Comparison of data from nested data tables using nested t test or nested one-way ANOVA using mixed effects model. Nonlinear Regression Fit one of our built-in equations, or enter your own. Now including family of growth equations: Enter differential or implicit equations. Enter different equations for different data sets. Global nonlinear regression — share parameters between data sets. Robust nonlinear regression.

Automatic outlier identification or elimination. Compare models using extra sum-of-squares F test or AICc. Compare parameters between data sets. Apply constraints. Differentially weight points by several methods and assess how well your weighting method worked.

Accept automatic initial estimated values or enter your own. Automatically graph curve over specified range of X values. Quantify precision of fits with SE or CI of parameters. Confidence intervals can be symmetrical as is traditional or asymmetrical which is more accurate. Plot confidence or prediction bands. Test normality of residuals. Runs or replicates test of adequacy of model. Report the covariance matrix or set of dependencies. Easily interpolate points from the best fit curve.

Fit straight lines to two data sets and determine the intersection point and both slopes. Column Statistics Calculate descriptive statistics: Mean or geometric mean with confidence intervals. Frequency distributions bin to histogram , including cumulative histograms. Normality testing by four methods new: Lognormality test and likelihood of sampling from normal Gaussian vs. Create QQ Plot as part of normality testing. One sample t test or Wilcoxon test to compare the column mean or median with a theoretical value.

Analyze a stack of P values, using Bonferroni multiple comparisons or the FDR approach to identify “significant” findings or discoveries. Linear Regression and Correlation Calculate slope and intercept with confidence intervals Force the regression line through a specified point. Fit to replicate Y values or mean Y. Test for departure from linearity with a runs test. Calculate and graph residuals in four different ways including QQ plot.

Compare slopes and intercepts of two or more regression lines. Interpolate new points along the standard curve. Pearson or Spearman nonparametric correlation. Multiple linear regression including Poisson regression using the new multiple variables data table. Deming regression type ll linear regression.

Repeat analyses of simulated data as a Monte-Carlo analysis. Plot functions from equations you select or enter and parameter values you choose. Other Calculations Area under the curve, with confidence interval. Transform data.

### Publisher’s Description

GraphPad Prism Free Download for Windows supporting both architectures i.e. 32 bit and 64 bit. Setup file is completely standalone and. The only way to analyze large data sizes is through statistical interpretations. GraphPad Prism is one tool for complex data analysis of such. This is a great choice, but it will also take a great deal of work. The university should have at least a few people that know R. Try the statistics department.