Project: Using a Bootstrapped t-test

Suppose we divide some students into two groups: those who have taken a course “Learn C from Scratch” and those who haven’t. All of these students have taken an assessment on the C programming language. We’d like to compare the mean scores of both groups and scientifically decide whether there’s a statistical difference between the averages of both groups.

A t-test helps us decide if the difference in the averages for both groups is significant. In this project, you’ll be completing the tasks that achieve the following goals:

• Read the data for both groups.
• Do the number crunching to compute a $t$-statistic, which is essentially a value $t$ that helps us decide whether the difference in the averages for both groups is important.
• Perform a bootstrapping test of the $t$-statistic.
• Parallelize the bootstrapping loop.

Here is the data file we’ll be working with. It contains two columns of comma-separated data representing the two student groups.