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1. ### Wald test--how to use the Wald value to calculate significance

how to use the Wald value to calculate significance The Wald test (also known as the Wald Chi-Squared Test) is a method of determining the significance of explanatory variables in a model. Variables that add nothing to the model can be removed without influencing the model in any manner. The...
2. ### How to sum up the results of multiple variables using the same experiment for correlation analysis?

How to sum up the results of multiple variables using the same experiment for correlation analysis? The maximum degree of linear association that may be produced between two or more independent variables and a single dependent variable is determined by the multiple correlation coefficient (R)...
3. ### Minimum sample size in ANOVA

Minimum sample size in ANOVA The sample size required for a one-way ANOVA with two groups, which tests for differences on one independent variable, is 128, which is the same as the independent samples t-test. The sample size depends on the number of groups in the independent variable, but for a...
4. ### Statistics Help on Determining Normality

The data of individual cases or subjects are collected together, which is defined as a data set. Presenting these data's individually will be meaningless because it will not provide any perfect conclusion. It'll be easy for the audience to absorb statistics data set in individual case...