Paired t-test in r
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Anova test in r
Independent samples t-test in r!
T-Test Approach in R Programming
We will be trying to understand the T-Test in R Programming with the help of an example. Suppose a businessman with two sweet shops in a town wants to check if the average number of sweets sold in a day in both stores is the same or not.
So, the businessman takes the average number of sweets sold to 15 random people in the respective shops.
He found out that the first shop sold 30 sweets on average whereas the second shop sold 40.
One sample t-test in rSo, from the owner’s point of view, the second shop was doing better business than the former. But the thing to notice is that the data set is based on a mere number of random people and they cannot represent all the customers.
This is where T-testing comes into play it helps us to understand whether the difference between the two means is real or simply by chance.
Mathematically, what the t-test does is, take a sample from both sets and establish the problem assuming a null hypothesis that the two means are the same.
Classification of T-tests
- One Sample T-test
- Two sample T-test
- Paired sample T-test