fifa 19 is a popular soccer simulation video game developed by ea sports. the dataset fifa19 on kaggle includes the players attributes like age, nationality, overall, club, value, wage, etc. soccer players, like other professional sport players, get paid very well. yet there is a general belief that some players are overpaid while others are underpaid. their wages are often thought to depend on the positions they play rather than their ability. in this exercise, we will use a 2-sample t-test (with equal variance assumption) to see if the difference in average wage between cam (central attacking midfielder) and gk (goalkeeper) is statistically significant. we will only look at players with an overall score of at least 60. store the t-test result in the variable test.