From ANOVA analysis, we know that treatment differences are statistically significant, but ANOVA does not tell which treatments are significantly different from each other. To know the pairs of significant different treatments, we will perform multiple pairwise comparison (post hoc comparison) analysis ...
Go to the Input Range field to select the cells of the Average Marks column >> click on the Output Range field and select cell G5 >> click OK. Some Common Data Analysis Tools in Excel Anova: Single Factor → It analyzes variance for two or more observations. Anova: Two Factor with Re...
Perform t-tests and obtaining the p-value in Excel. Step 7-10. Image by Author Image showing results of the t-test using the Data Analysis Toolpak. Image by Author How to find p-value in Excel manually As a final option, we could calculate a p-value manually. Here, let’s do a...
## ANOVA Table (type II tests) ## ## Effect DFn DFd F p p<.05 ges ## 1 group 2 27 4.85 0.016 * 0.264 From the above ANOVA table, it can be seen that there are significant differences between groups (p = 0.016), which are highlighted with “*“, F(2, 27) = 4.85, p = ...
The formula mentioned above finds the minimum value in column A using AutoSum, making it easy to determine the lowest value in a dataset. By exploring these variations of AutoSum, you can efficiently perform a wide range of calculations and data analysis tasks in Excel. Take advantage of thes...
Right, so how can we perform the conversion safely? Well, we justinspected frequency tables: how many non empty values do we have before the conversion? converted our variable(s) to numeric; inspected N in a descriptive statistics after the conversion. If N is lower than the number of non...
I am working on AnoVAEGAN for a project and your resources have been very helpful. However, I have noticed that after around 60-70 epochs, the generator and discriminator gain equilibrium in the loss value. And the result is not as expected, I want the generator to improve further. (Giv...
among categorical variables or not. It is applied on contingency tables because these tables are used to represent the frequency for categorical variables and we can apply it on a matrix as well as matrices have the similar form. In R, we can use fisher.test function to perform the fisher ...
In this section, we will evaluate a Logistic Regression model with all features compared to a model built from features selected by ANOVA f-test and those features selected via mutual information. Logistic regression is a good model for testing feature selection methods as it can perform better ...
Dunnett’s test in R, After the ANOVA test has been completed the next step is to determine which group means are significantly different from one another. Different types of post hoc tests are available... The post How to Perform Dunnett’s Test in R ap