One Sample Test (nonparametric tests)

The One Sample Test view shows details related to any requested one-sample nonparametric tests. The information shown depends upon the selected test.

  • The Test dropdown allows you to select a given type of one-sample test.
  • The Field(s) dropdown allows you to select a field that was tested using the selected test in the Test dropdown.

Binomial Test

The Binomial Test shows a stacked bar chart and a test table.

  • The stacked bar chart displays the observed and hypothesized frequencies for the "success" and "failure" categories of the test field, with "failures" stacked on top of "successes". Hovering over a bar shows the category percentages in a tooltip. Visible differences in the bars indicate that the test field may not have the hypothesized binomial distribution.
  • The table shows details of the test.

Chi-Square Test

The Chi-Square Test view shows a clustered bar chart and a test table.

  • The clustered bar chart displays the observed and hypothesized frequencies for each category of the test field. Hovering over a bar shows the observed and hypothesized frequencies and their difference (residual) in a tooltip. Visible differences in the observed versus hypothesized bars indicate that the test field may not have the hypothesized distribution.
  • The table shows details of the test.

Wilcoxon Signed Ranks

The Wilcoxon Signed Ranks Test view shows a histogram and a test table.

  • The histogram includes vertical lines showing the observed and hypothetical medians.
  • The table shows details of the test.

Runs Test

The Runs Test view shows a chart and a test table.

  • The chart displays a normal distribution with the observed number of runs marked with a vertical line. Note that when the exact test is performed, the test is not based on the normal distribution.
  • The table shows details of the test.

Kolmogorov-Smirnov Test

The Kolmogorov-Smirnov Test view shows a histogram and a test table.

  • The histogram includes an overlay of the probability density function for the hypothesized uniform, normal, Poisson, or exponential distribution. Note that the test is based on cumulative distributions, and the Most Extreme Differences reported in the table should be interpreted with respect to cumulative distributions.
  • The table shows details of the test.