### In this section we show you only the main tables required to understand your results from the one way anova and tukey post hoc test.

**How to read anova table**.
The general form of a results table from a one way anova for a total of n observations in k groups is shown in table 1 below.
The anova table partitions this variability into two parts.
In the same way move the independent variable in the left side list to the factor box on the right side.
The analysis of variance table is just like any other anova table.

Total sstssbssw n 1 the above table shows 3 rows relating to different sources of variation and a number of columns containing calculated values related to each source of variance.
The best one could do is predict each observation to be equal to the overall sample mean.
Apa style anova tables generally include the sums of squares degrees of freedom f statistic and p value for each effect.
This video is about interpretting the anova results table.

These are typically displayed in a tabular form known as an anova table.
Key output includes the p value graphs of groups group comparisons r 2 and residual plots.
Statistics made easy.
These mean squares are denoted by mst and mse respectively.

The total sum of squares is the uncertainty that would be present if one had to predict individual responses without any other information.
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For a complete explanation of the output you have to interpret when checking your data for the six assumptions required to carry out a one way anova.
Click on the post hoc button to select the type of multiple comparison you want to do.

Learn about the t test the chi square test the p value and more duration.
Spss statistics output of the one way anova.

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