Table Of Contents

Hypothesis Testing (G Dataflow)

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Last Modified: September 4, 2017

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.

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Tests hypotheses about the variance of a population whose distribution is at least approximately normal.
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Tests whether the row and column categorical variables of a contingency table are independent.
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Tests hypotheses about the association between two populations x and y.
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Tests hypotheses about the variance of two independent populations whose distributions are at least approximately normal.

Sign Test

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Tests hypotheses about the median of two populations whose distributions are continuous.
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Tests hypotheses about the median of a population whose distribution is continuous.

T Test

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

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

Z Test

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

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