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2025-01-22 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >
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The content of this article mainly focuses on how the analysis of variance in excel data analysis is narrated. The content of the article is clear and clear. It is very suitable for beginners to learn and is worth reading. Interested friends can follow the editor to read together. I hope you can get something through this article!
What I want to share with you today is data analysis-analysis of variance!
One-way ANOVA:
Test the difference of the mean value of a sample observation at different levels of a factor (level category is greater than 2).
From the analysis output (we are concerned about F value and its significance level), the difference between groups is not significant at the significant level of α = 0.05 (P = 0.09 > 0.05), so we accept the original hypothesis (the mean of each group is equal).
Non-repetitive two-way ANOVA:
To test the difference of the mean value of a sample at different levels of a certain two factors.
From the results, we can see that there are no significant differences between rows and columns (there are no significant differences between different groups and different levels (level)). The P values of row differences and column differences are 0.96 > 0.05 and 0.32 > 0.05 respectively.
Repeatable two-way ANOVA
Repeatable two-way analysis of variance, in addition to the non-repetitive two-way analysis of variance, but also adds the interaction between factors. The data of different observation levels of level are added in this example.
The sample difference (refers to different level levels) is not significant (pinch 0.38), the column (group) difference is significant (pause 0.001), and the interaction is not significant.
Thank you for your reading. I believe you have a certain understanding of "what is the analysis of variance in excel data analysis". Go and practice it. If you want to know more about it, you can pay attention to the website! The editor will continue to bring you better articles!
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