GraphPad Prism 7.03 Full Version Download + crack
GraphPad Prism was originally designed for experimental biologists in medical schools and drug companies, especially those in pharmacology and physiology. Prism is now used much more broadly by all kinds of biologists, as well as social and physical scientists. More than 200,000 scientists in over 110 countries rely on Prism to analyze, graph and present their scientific data. It is also widely used by undergraduate and graduate students.
FEATURES
Paired or unpaired t tests. Reports P values and confidence intervals.
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 Discover Rate (or Bonferroni multiple comparisons) to choose which comparisons are discoveries to study further.
Ordinary or repeated measures one-way ANOVA followed by the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for trend, or Fisher’s Least Significant tests.
Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values.
Greenhouse-Geisser correction so repeated measures one-way ANOVA does not have to assume sphericity. When this is chosen, multiple comparison tests also do not assume sphericity.
Kruskal-Wallis or Friedman nonparametric one-way ANOVA with Dunn's post test.
Fisher's exact test or the chi-square test. Calculate the relative risk and odds ratio with confidence intervals.
Two-way ANOVA, even with missing values with some post tests.
Two-way ANOVA, with repeated measures in one or both factors. Tukey, Newman-Keuls, Dunnett, Bonferron, Holm-Sidak, or Fishers LSD multiple comparisons testing main and simple effects.
Three-way ANOVA (limited to two levels in two of the factors, and any number of levels in the third).
Kaplan-Meier survival analysis. Compare curves with the log-rank test (including test for trend).
Fit one of our 105 built-in equations, or enter your own.
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).
AND MUCH MORE!
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