Usually, when we do the statistical analysis we set the significance level at 0.05. If P-value we get lesser than 0.05, then we can reject null Hypothesis and accept alternative hypothesis (i.e., data is significantly different). In your case, p is 0.078, which is higher then significance level, your data fails to regect null hypothesis. Your data is statistically not significant.
Sir what about 3 factorial data related to agriculture. Total 9 readings for each irrigation system. Altogether 27 readings. If we have 3 irrigation treatments, 3 varieties, and 3 fertilizer doses which statistical analysis is applicable and dmrt how to apply. For example if I want to analyze plant height.
You can do DMRT in SPSS software, you have three independent parameters irrigation, varieties, and fertilizer. You have to consider one way ANOVA with post hoc Duncan test. You need to see significant impact of irrigation on plant height, then separately different varieties methods on plant height, and lastly different fertilizer on plat height.
If you have done two-way ANOVA, than you can use small alphabets (a,b,c ...) as superscripts to represent significant differences row-wise. And capital alphabets (A, B, C ....) as superscripts to represent significant differences Column-wise.
Sir i am finding it difficult to do when there are more cells please explain with more than one ph and more than one treatments. Say alteast four each.
Hello 145dvibhuvaid9, I hope you are doing well. what error you are getting? You can do multiple columns at a time. If you are still facing any problem then you can drop a message on my telegram channel.
What does the significant value of 0.078 mean?
Usually, when we do the statistical analysis we set the significance level at 0.05. If P-value we get lesser than 0.05, then we can reject null Hypothesis and accept alternative hypothesis (i.e., data is significantly different). In your case, p is 0.078, which is higher then significance level, your data fails to regect null hypothesis. Your data is statistically not significant.
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Sir what about 3 factorial data related to agriculture. Total 9 readings for each irrigation system. Altogether 27 readings.
If we have 3 irrigation treatments, 3 varieties, and 3 fertilizer doses which statistical analysis is applicable and dmrt how to apply. For example if I want to analyze plant height.
You can do DMRT in SPSS software, you have three independent parameters irrigation, varieties, and fertilizer. You have to consider one way ANOVA with post hoc Duncan test. You need to see significant impact of irrigation on plant height, then separately different varieties methods on plant height, and lastly different fertilizer on plat height.
How to apply the superscript letter in the analysis of "two-way" ANOVA results?
If you have done two-way ANOVA, than you can use small alphabets (a,b,c ...) as superscripts to represent significant differences row-wise.
And capital alphabets (A, B, C ....) as superscripts to represent significant differences Column-wise.
Sir please explain with more than one (columns) ph along with more than one row (treatments)
Sir i am finding it difficult to do when there are more cells please explain with more than one ph and more than one treatments. Say alteast four each.
Hello 145dvibhuvaid9, I hope you are doing well.
what error you are getting? You can do multiple columns at a time. If you are still facing any problem then you can drop a message on my telegram channel.
if only 2 tratements are there, then how to add superscript letter ?
Yes, it can be done with 2 treatments as well. If there will be significant difference between them, then the superscript letter will be a & b.
@@LearnwithDr_Mani can u pls explain with example
What does ab means??? like they are significantly different or non significant to each other
@@AkanshaTripathi-xd2xu it means, there is significant difference between both treatments
very good
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Can we give "a" to T2 also? and "c" to T3? @LearnwithDrMani
Here we have only two columns so, we can only use two alphabets (a, b) for superscript. Why are you thinking about 'c' ?