Which is better Anova or t test?
There is a thin line of demarcation amidst t-test and ANOVA, i.e.
when the population means of only two groups is to be compared, the t-test is used, but when means of more than two groups are to be compared, ANOVA is preferred..
Can I use Anova instead of t test?
They are equivalent. An ANOVA with only two groups is equivalent to a t-test. The difference is when you have several groups then the type I error will increase for the t-tests as you are not able to test the hypothesis jointly. ANOVA does not suffer from this problem as you jointly test them through an F-test.
What is the difference between a chi square test and t test?
A t-test tests a null hypothesis about two means; most often, it tests the hypothesis that two means are equal, or that the difference between them is zero. … A chi-square test tests a null hypothesis about the relationship between two variables.
What is an Anova test used for?
The one-way analysis of variance (ANOVA) is used to determine whether there are any statistically significant differences between the means of three or more independent (unrelated) groups.
Can I use Anova to compare two means?
For a comparison of more than two group means the one-way analysis of variance (ANOVA) is the appropriate method instead of the t test. … The ANOVA method assesses the relative size of variance among group means (between group variance) compared to the average variance within groups (within group variance).
What are the 3 types of t tests?
There are three main types of t-test:An Independent Samples t-test compares the means for two groups.A Paired sample t-test compares means from the same group at different times (say, one year apart).A One sample t-test tests the mean of a single group against a known mean.