What is the basic difference between T-Test, Z-Test, Chi-Square, and Annova test?
If we are using one numerical variable and one or two Categorical features were more than 2 categories then we r using the Annova test.
And if we are using one numerical variable and one categorical variable where only two category then we have to use T-Test.
And if are using two categorical feature and reject null hypothesis and we choose alternate hypothesis the we have to use CHi- square
Lists are mutable(values can be changed) whereas ...READ MORE
Classes and Labels both are almost same things ...READ MORE
There are few differences between Python and ...READ MORE
The theoritical approach can be this way,
re.match is ...READ MORE
You can also use the random library's ...READ MORE
colors = ['red', 'green', ...READ MORE
can you give an example using a ...READ MORE
You can simply the built-in function in ...READ MORE
There is a simple difference between append ...READ MORE
You can follow a few steps ...READ MORE
Already have an account? Sign in.