15 Statistics

Apps for Statistics

Origin 2016 introduced add-on tools called Apps. Since being introduced, a number of statistics-related graphing and analysis Apps have been added to OriginLab's File Exchange and more tools are being released all the time.

A few Apps are installed with your Origin software. Note that as of the fall of 2019, all Apps are available at no extra cost and they are easily added to Origin. Click Statistics: Find Apps. This opens the App Center to show only statistics-related Apps. Browse available Apps and click the Download and Install button AC Download Icon.png to install an App.

Origin includes a pre-installed App called Stats Advisor. This App uses an interactive "wizard" interface to help you choose appropriate statistical tests and to tell you where to find them in your Origin software, or -- if the test is available from another add-on App -- where to find it on the OriginLab File Exchange.

Statistics stats advisor app.png

Basic Statistics

Many of Origin's advanced statistical tests are available only in OriginPro. Users of standard Origin will see these Pro-only tests marked as (Pro) in the main menu. If you own the standard version of Origin but find that you need features of OriginPro, you can upgrade by contacting your Origin representative.

If you wish to continue using standard Origin without seeing (Pro) menu commands, click Preferences: System Variables and enter the following in the Set System Variables dialog box and click OK (Comment is optional):

Remove Pro Menu.png

Basic Statistics on Worksheet

Descriptive Statistics Menu entry with worksheet active
  • Statistics on Columns
  • Statistics on Rows
Statistics:Descriptive Statistics
  • Statistics on Y by X Bin
No menu access. To open the dialog box:
  1. Click Window: Script Window.
  2. At the cursor, type statsxy -d and press Enter.
  • Cross Tabulation and Chi-Square OriginPro Symbol.png
Statistics:Descriptive Statistics
  • Discrete Frequency
  • Frequency Counts
  • 2D Frequency Counts/Binning
Statistics:Descriptive Statistics
  • Distribution Fit OriginPro Symbol.png
  • Normality Test
Statistics:Descriptive Statistics
  • Correlation Coefficient OriginPro Symbol.png
  • Partial Correlation Coefficient OriginPro Symbol.png
Statistics:Descriptive Statistics
Detecting Outliers
  • Grubbs Test
  • Dixon's Q-test
Statistics:Descriptive Statistics

You can apply Conditional Formatting to a worksheet by applying mathematical expressions or statistics to cell values. For more information, see Conditional Formatting.

User guide stats conditional format.png

Descriptive Statistics on Graph

Origin provides a couple of gadgets to explore and summarize data plotted in graphs.

Descriptive Statistics Menu entry with graph active
  • Cluster Gadget OriginPro Symbol.png
  • Statistics Gadget

Descriptive Statistics on Matrix

Descriptive Statistics Menu entry with matrix active
  • Output descriptive statistics (mean, sd, min, max, etc.) on the matrix stack (series of matrix objects), for each pair of XY coordinates.
Analysis: Descriptive Statistics

Statistics on Selected Range

Origin provides some quick ways to obtain basic statistics on a selected range of worksheet cells, or data plot(s) in a graph.

Status Bar

Select a range of cells in a worksheet. Note that the selection can include cells from one or more columns, and you can use the CTRL key to select non-contiguous groups of cells.

Basic statistics (average, sum, count, min, max) for your selected data will be displayed in the status bar. Right click on the status bar to customize what quantities to display.

Gsb statistics statistics on status bar.png

Command or Script Window

Statistics, Report to Script/Command Window

  1. Select a range of cells in a worksheet, or click and select a group of data plots or an individual data plot in a graph.
  2. Open the Command Window or the Script Window from the Windows menu, and type one of these commands, then press ENTER:

With the Command Window, the results are typed out below the command line. With the Script Window, you will need to issue an additional command to return your results:


Note: For more information, please refer to the:

Help: X-Function > X-Function Reference > Statistics

Statistical Graphs

Origin provides numerous statistical graph types. All graphs can be easily customized and saved as a template for repeat use. View the Graphing and Customizing Graphs chapters of this guide for more information.

Graph Type Plot Menu Category

Box Charts: Box, Interval Plot, Bar Charts, Box Overlap, Box Normal, Half Box, Bar Overlap, Bar Normal, Scatter Interval, Double-Y Box, Marginal Box Charts.

Box Scale is available for box charts, diagramming key user-selected box statistics.


Box Charts, Violin Plots, etc., Grouped: Grouped Scatter - Indexed Data, Grouped Box Charts - Indexed Data, Grouped Box Charts - Raw Data, Grouped Column Scatter - Indexed Data, Grouped Interval Plot - Indexed Data, Grouped Mean Bar - Indexed Data, Grouped Violin - Indexed Data, Grouped Half Violin - Indexed Data, Grouped Half Box - Indexed Data.


Violin Plots: Violin Plot, Violin with Box, Violin with Point, Violin with Quartile, Violin with Stick, Split Violin, Half Violin.


Histograms: Histogram, Histogram + Rug, Histogram + Probabilities, Multi-Panel Histogram, Distribution, Distribution + Rug, Histogram with Labels, Stacked Histograms, Marginal Histograms.


Population Pyramid


2D Kernel Density


Heatmap: Heatmap, Heatmap with Labels, Split Heatmap


Contour - Categorical Z


Cluster Plots


Probability: Probability Plot, Q-Q Plot.


Pareto and QC Chart: Pareto Chart - Binned Data, Pareto Chart - Raw Data, QC (X-bar R) Chart.


Bland-Altman Plot (Tukey mean-difference)


Scatter Matrix


Trellis Plot: Trellis Plot, Double-Y Trellis Plot, Double-Y Trellis Plot


Parallel Plot: Parallel Plot, Parallel Sets, Parallel Index.


The following statistical graphs are only available within the Plots branch of the statistical analysis dialogs.

Graph Type Menu Entry
  • Means Plot
  • Means Comparison Plot
Statistics: ANOVA: One-Way ANOVA, Two-Way ANOVA

Statistics: ANOVA: One-Way Repeated Measure ANOVA OriginPro Symbol.png
  • Survival Curve
  • One Minus Survival Curve
  • Hazard Curve
  • Log Survival Curve
Statistics: Survival Analysis: Kaplan-Meier Estimator OriginPro Symbol.png
  • Scree Plot
  • Component Plot
Statistics: Multivariate Analysis: Principal Component Analysis OriginPro Symbol.png
  • Dendrogram
Statistics: Multivariate Analysis: Hierarchical Cluster Analysis OriginPro Symbol.png
  • Classification Summary Plot
  • Classification Fit Plot
  • Canonical Score Plot
Statistics: Multivariate Analysis: Discriminant Analysis OriginPro Symbol.png
  • ROC Curve
Statistics: ROC Curve OriginPro Symbol.png

Comparing One, Two or More Groups

Origin provides parametric and non-parametric tests to compare one, two, three or more groups.

Parametric Hypothesis Tests

Feature Menu Entry
  • One-Sample t-Test
  • Two-Sample t-Test
  • Pair-Sample t-Test
  • One-Sample Test for Variance OriginPro Symbol.png
  • Two-Sample Test for Variance OriginPro Symbol.png
Statistics: Hypothesis Testing
  • One-Sample Proportion Test OriginPro Symbol.png
  • Two-Sample Proportion Test OriginPro Symbol.png
Statistics: Hypothesis Testing
  • Two-Sample t-Test on Rows OriginPro Symbol.png
  • Pair-Sample t-Test on Rows OriginPro Symbol.png
Statistics: Hypothesis Testing


Feature Menu Entry
  • One-Way ANOVA
  • Two-Way ANOVA
  • Three-Way ANOVA
  • One-Way Repeated-Measures ANOVA OriginPro Symbol.png
  • Two-Way Repeated-Measures ANOVA OriginPro Symbol.png
(Supports both Balanced and Unbalanced data)
Statistics: ANOVA

Non-parametric Tests OriginPro Symbol.png

Feature Menu Entry
  • One-Sample Wilcoxon Signed Rank Test
  • Paired-Sample Wilcoxon Signed Rank Test
  • Paired-Sample Sign Test
  • Mann-Whitney Test
  • Two-Sample Kolmogorov-Smirnov Test
  • Kruskal-Wallis ANOVA
  • Moods Median Test
  • Friedman ANOVA
Statistics:Nonparametric Tests

Multiple nonparametric tests can be run simultaneously. (Accessible from the Statistics:Nonparametric Tests menu ) Available options are:

  • (NPH) K Independent Samples: Kruskal-Wallis ANOVA and Mood's Median Test
  • (NPH) Paired Samples: Paired-Sample Wilcoxon Signed Rank Test and Paired-Sample Sign Test
  • (NPH) Two Independent Samples: Mann-Whitney Test and Two-Sample Kolmogorov-Smirnov Test

Advanced Statistics

Several additional tools are available in OriginPro.

Multivariate Analysis OriginPro Symbol.png

Origin offers several multivariate analysis methods to help you simplify, classify, or make predictions from your data.

Feature Menu Entry
  • Principal Component Analysis
  • K-Means Cluster
  • Hierarchical Cluster
  • Discriminant Analysis
  • Canonical Discriminant Analysis
  • Partial Least Squares
Statistics:Multivariate Analysis
Notes: Canonical Discriminant Analysis is integrated with Discriminant Analysis. It is accessible from the Statistics:Multivariate Analysis:Discriminant Analysis: Canonical Discriminant Analysis(System) menu.

Survival Analysis OriginPro Symbol.png

OriginPro includes widely used survival tests to quantify survivorship in a population.

Feature Menu Entry
  • Kaplan-Meier Product-limit Estimator
  • Comparing Survival Curves
  • Cox Proportional Hazards Model
  • Weibull Fit Model
Statistics:Survival Analysis
Notes: Comparing Survival Curves is accessible in the Kaplan-Meier Product-limit Estimator feature.

Power and Sample Size OriginPro Symbol.png

Statistics, Power and Sample Size Origin provides eight types of power and sample size analysis, useful in designing experiments. Origin can compute the power of the experiment for a given sample size and can also compute the required sample size for given power values.

Feature Menu Entry
  • One-Proportion Test
  • Two-Proportion Test
  • One-Sample t-Test
  • Two-Sample t-Test
  • Paired-Sample t-Test
  • One-Variance Test
  • Two-Variance Test
  • One-Way ANOVA
Statistics: Power and Sample Size

ROC Curve OriginPro Symbol.png

ROC Curve analysis is useful in determining if an incident has occurred, or in comparing the accuracy of two methods that are used to discriminate between diseased and healthy cases.

Feature Menu Entry
  • ROC Curve
Statistics: ROC Curve

Topics for Further Reading