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- Paired or unpaired t-tests. Reports P values and confidence intervals.
- Nonparametric Mann-Whitney test, including a confidence interval of difference of medians.
- Kolmogorov-Smirnov test to compare two groups.
- Wilcoxon test with a confidence interval of the median.
- Perform many t-tests at once, using False Discovery 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 comparison tests 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 consider 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, Bonferroni, Holm-Sidak, or Fishers LSD multiple comparisons testing main and straightforward 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 a check for trend).
- Calculate min, max, quartiles, mean, SD, SEM, CI, CV,
- Mean or geometric means with confidence intervals.
- Frequency distributions (bin to histogram), including cumulative histograms.
- Normality testing by three methods.
- One sample t-test or Wilcoxon test to compare the column mean (or median) with a theoretical value
- Identify outliers using Grubbs or ROUT method.
- 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.
- Compare slopes and intercepts of two or more regression lines.
- Interpolate new points along the standard curve.
- Pearson or Spearman (nonparametric) correlation.
- Analyze a stack of P values, using Bonferroni multiple comparisons or the FDR approach to identify “significant” findings or discoveries.
- Receiver operator characteristic (ROC) curves.
- Deming regression (type ll linear regression).
- Simulate XY, Column, or Contingency tables.
- Repeat analyses of simulated data as a Monte-Carlo analysis.
- Plot functions from equations you select or enter and parameter values you choose.
- The area under the curve, with a confidence interval.
- Subtract baseline (and combine columns).
- Compute each value as a fraction of its row, column, or total.
- Microsoft Window XP, Vista, 7, 8, 10.
- macOS 10.6.8 or late.
- Minimum 1.5 GHz processor.
- 4 GB RAM and 150 MB free disk space.
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How To Activate?
- First, download the GraphPad Prism Activation Code from the link given below.
- Run Crack as an administrator.
- Now installer and enter the generated license.
- Complete the installation process.
- That’s It. Enjoy.
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