JMP Learning Library
- One Sample t-Test and Confidence IntervalPerform a hypothesis test and generate a confidence interval for a population mean.
- Two Sample t-Test and Confidence IntervalTest a hypothesis and generate a confidence interval comparing two population means.
- Paired t-Test and Confidence IntervalTest a hypothesis and generate a confidence interval comparing two population means with non-independent samples.
- One Way ANOVATest for differences between three or more population means.
- Two-Way (Factorial) ANOVATest the effects of two categorical factors and their interaction on population means.
- One Sample Equivalence Test for MeanDetermine if statistical evidence exists to demonstrate that a population mean is within a specified range of (i.e., "equivalent to") a hypothesized value.
- Hypothesis Test and Confidence Interval for ProportionsEstimate and perform a hypothesis test for a population proportion.
- Two Proportions Test and Confidence IntervalTest a hypothesis and generate a confidence interval comparing two population proportions.
- Chi-Square Test for a Two-Way TableTest for independence between two categorical variables.
- Nonparametric TestsEstimate and test differences in location parameters without distributional assumptions on the underlying populations (Wilcoxon Signed Rank, Mann-Whitney, Kruskal-Wallis).
- Prediction IntervalProduce an interval estimate of a single observation, sample of n observations, or the sample mean and standard deviation of a sample of n observations.
- Sample Size and Power for One Sample MeanExplore the relationship between sample size and power in a hypothesis test for one population mean.
- Sample Size and Power for Two Sample MeansExplore the relationship between sample size and power in a hypothesis test comparing two population means.
- Sample Size and Power for One Sample ProportionExplore the relationship between sample size and power in a hypothesis test for a population proportion.
- Sample Size and Power for Two Sample ProportionsExplore the relationship between sample size and power in a hypothesis test comparing two population proportions.
- Bootstrapping in JMP ProUse bootstrap re-sampling method to estimate the sampling distribution of a statistic for estimation and hypothesis testing.
- Randomization Testing in JMP ProUse randomization method for estimating the sampling distribution of a statistic for estimation and hypothesis testing.