Hypothesis Testing (G Dataflow)

Tests hypotheses about populations whose distributions are continuous.

As in all hypothesis tests, the hypotheses are statements about the population, not about the sample set.

Hypothesis Testing » Chi-Squared Test

Tests hypotheses about the variance of a population whose distribution is at least approximately normal.

Hypothesis Testing » Contingency Table Test

Tests whether the row and column categorical variables of a contingency table are independent.

Hypothesis Testing » Correlation Test

Tests hypotheses about the association between two populations x and y.

Hypothesis Testing » F Test

Tests hypotheses about the variance of two independent populations whose distributions are at least approximately normal.

Sign Test

Hypothesis Testing » Sign Test » Paired Samples

Tests hypotheses about the median of two populations whose distributions are continuous.

Hypothesis Testing » Sign Test » Single Sample

Tests hypotheses about the median of a population whose distribution is continuous.

T Test

Hypothesis Testing » T Test » Paired Samples

Tests hypotheses about the mean of the differences between two dependent populations. The distributions of the differences are at least approximately normal but the variances of the differences are unknown.

Hypothesis Testing » T Test » Single Sample

Tests hypotheses about the mean of a population whose distribution is at least approximately normal but whose variance is unknown.

Hypothesis Testing » T Test » Two Samples

Tests hypotheses about the mean of two independent populations whose distributions are at least approximately normal but whose variances are unknown.

Wilcoxon Signed-Rank Test

Hypothesis Testing » Wilcoxon Signed-Rank Test » Paired Samples

Tests hypotheses about the mean of two populations whose distributions are continuous and symmetric but not necessarily normal.

Hypothesis Testing » Wilcoxon Signed-Rank Test » Single Sample

Tests hypotheses about the mean of a population whose distribution is continuous and symmetric but not necessarily normal.

Z Test

Hypothesis Testing » Z Test » Single Sample

Tests hypotheses about the mean of a population whose distribution is at least approximately normal and whose variance is known.

Hypothesis Testing » Z Test » Two Samples

Tests hypotheses about the mean of two independent populations whose distributions are at least approximately normal and whose variances are known.