- What are the 3 most common assumptions in statistical analysis?
- What are the 3 assumptions for an independent measures t-test?
- What are the assumptions for at test?
- What is the most important assumption of the linear model?
What are the 3 most common assumptions in statistical analysis?
Depending on the statistical analysis, the assumptions may differ. A few of the most common assumptions in statistics are normality, linearity, and equality of variance.
What are the 3 assumptions for an independent measures t-test?
Independence of the observations.
Each subject should belong to only one group. There is no relationship between the observations in each group. No significant outliers in the two groups.
What are the assumptions for at test?
The common assumptions made when doing a t-test include those regarding the scale of measurement, random sampling, normality of data distribution, adequacy of sample size, and equality of variance in standard deviation.
What is the most important assumption of the linear model?
The basic assumption of the linear regression model, as the name suggests, is that of a linear relationship between the dependent and independent variables.