Describe the data and the data that you will be using dont forget to mention that it is fictional data

gender does not affect the amount of people who took the test because the numbers are generally the same

the people that completed the test preparation is more distributed to the right and the people who did not complete the test preperation course are more tot the left. which means rhe average mean are less.

## 
##  Welch Two Sample t-test
## 
## data:  completed$math_score and none$math_score
## t = 5.787, df = 770.08, p-value = 1.043e-08
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  3.712041 7.523257
## sample estimates:
## mean of x mean of y 
##  69.69553  64.07788

to provide evidence on whether the prep course was effective was performed at 0.05 level of significance

the null was rejected when it gave a p-value equal to 1.043e-0b. the mean for the test proved that the students who did not take the test is less than the students who completed the test prep. there is enough proof to show that the test prep works