5.3.1 One Way ANOVA1WayANOVA
Summary
Statistics has two modes of data input; indexed and raw. When a statistical analysis is performed, there is usually no need to use an entire data set; Origin provides several methods of data selection. For example, the interactive Regional Data Selector button can be used in the graphical selection of data, or the Column Browser dialog can be employed to make the selection.
In this tutorial, you will learn how to use the two methods of data input so that the Analysis of Variance (ANOVA) statistical test can be performed.
ANOVA is a parametric method for means comparison of several groups, and it is also an extension of two independent sample ttests. ANOVA is more powerful than multiple ttests since it controls the chance to commit type I error better when the number of groups is relatively large. For example, when comparing the means among 5 groups using a ttest, ten multiples of the ttest, each with a significance level of 0.05, are performed, resulting in an overall chance to commit type I error of 1(10.05)^10=0.401. Under the same circumstances, the chance to commit type I error in ANOVA is 0.05.
ANOVA requires normality and equal variance. If these requirements are not met, nonparametric analysis should be used.
Minimum Origin Version Required: Origin 2016 SR0
What You Will Learn
This tutorial will show you how to:
 Use different input data modes in the statistical analysis dialog
 Do normality tests
 Perform oneway ANOVA
Steps
Origin can perform ANOVA from an indexed data mode, or from a raw data mode.
When an indexed data mode is used, the data needs to be organized in a factor column and a data column.
When a raw data mode is used, the data needs to be organized with different levels in different columns.
Indexed Data Mode
Nitrogen content, in milligrams, has been recorded for 4 kinds of plants. We are interested to know whether different plants have significantly different nitrogen content. As a result, we will use the index data mode in OneWay ANOVA analysis.
 Start with a new workbook and click Import Single ASCII... button on the Import toolbar, then browse to and select <Origin Program Folder>\Samples\Statistics\nitrogen.txt (if the Options dialog opens, accept defaults and click OK).
 Next, we perform a normality test on each group of data to determine whether it follows a normal distribution. Highlight the first column of the workbook and from the Menu Bar, select Worksheet: Sort Worksheet: Ascending.
 From the Menu Bar, select Statistics: Descriptive Statistics: Normality Test: Open Dialog. In the Normality Test dialog, in the Input tab, expand Input Data and Range 1. Press the triangle button at the right of Data Range and select B(Y): nitrogen, then press the triangle button at the right of Group and select A(X): plant. Click OK.
 With the nitrogen worksheet active, go to the Menu Bar and open Statistics: ANOVA: OneWay ANOVA.... In the ANOVAOneWay dialog box, in the Input tab, set Input Data to Indexed. Pressing the triangle button at the right of Factor, select A(X): plant and pressing the triangle button at the right of Data, select B(Y): nitrogen.
 In theMeans Comparison tab, check the Tukey check box; In the Tests for Equal Variance tab, check the Levene check box; In Power Analysis tab, select Actual Power check box; In the Plots tab, check the Means Plot[SE as Error] and the Means Comparison Plot check boxes. Click OK.
Result Interpretations
 On the ANOVA1Way1 report sheet, you will see a Homogeneity of Variance Test node. If results are not visible, click to expand the node. Because the pvalue is greater than 0.05, the four groups are considered to have equal variance.
 The ANOVA table (Overall ANOVA) reports a pvalue that is smaller than 0.05, hence at least two of the four groups have significantly different means.
 Expanding the results of "Means Comparisons" reveals further information regarding relationships between groups.
 Here we see that the mean of PLANT4 differs significantly from the other three groups. Looking at the Means Plot and Means Comparison Plot, we can see that PLANT4 has the smallest mean and is significantly different from the other three groups.
 In the "Powers" table, Actual Power=0.99976, that is, the chance of a Type II error occurring is almost equal to zero.
Raw Data Mode
 Start with a new workbook and click Import Single ASCII... button on the Import toolbar, then browse to and select <Origin Program Folder>\Samples\Statistics\nitrogen_raw.txt (if the Options dialog opens, accept defaults and click OK).
 Choose Statistics: ANOVA: OneWay ANOVA.
 On the Input tab, set Input Data to Raw, then set Number of levels to 4.
 Click the browse button to the right of Data and choose Select from Worksheet. The dialog box rolls up.
 Select all four columns (Plant1, Plant2, Plant3, Plant4) and on the rolledup dialog box, click Done. Click OK to perform the ANOVA.
 Examine the analysis results and you will see that we reach the same conclusions as we did when using Indexed data mode.
 If the Level Name is set to Auto, it will follow the column long name of the selected data.

