# Hypothesis Testing (Sign Test » Paired Samples) (G Dataflow)

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

The sign test is a nonparametric test that makes no assumption about the distribution of the underlying population.

## sample set x

Sampled data from the first variable x.

## sample set y

Sampled data from the second variable y.

## significance level

Probability that this node incorrectly rejects a true null hypothesis.

Default: 0.05

## error in

Error conditions that occur before this node runs.

The node responds to this input according to standard error behavior.

Standard Error Behavior

Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

error in does not contain an error error in contains an error
If no error occurred before the node runs, the node begins execution normally.

If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Default: No error

## alternative hypothesis

Hypothesis to accept if this node rejects the null hypothesis that the two variable populations have a common median.

If the null hypothesis is true, the median of the differences between sample set x and sample set y is zero.

Name Value Description
median(x) != median(y) 0 The median of the first population is not equal to the median of the second population.
median(x) > median(y) 1 The median of the first population is greater than the median of the second population.
median(x) < median(y) -1 The median of the first population is less than the median of the second population.

Default: median(x) != median(y)

## reject null hypothesis

A Boolean that indicates whether to reject the null hypothesis.

 True p value is less than or equal to significance level. Reject the null hypothesis and accept the alternative hypothesis. False p value is greater than significance level. Accept the null hypothesis and reject the alternative hypothesis.

## p value

Smallest significance level that leads to rejection of the null hypothesis based on the sample sets.

## error out

Error information.

The node produces this output according to standard error behavior.

Standard Error Behavior

Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

error in does not contain an error error in contains an error
If no error occurred before the node runs, the node begins execution normally.

If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.

If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Where This Node Can Run:

Desktop OS: Windows

FPGA: This product does not support FPGA devices