[USER (data scientist)]: Great! Could we now determine the confidence intervals for the average win/loss ratio for each type of surface? Please remember that we'll be using the t-distribution to calculate these intervals, as we don't know the population standard deviation and we're working with a confidence level of 0.95. Once you've found the solution, could you also answer this question: How do players' win/loss ratios vary across different surfaces? And what type of correlation coefficients are we typically seeing?

A. higher, hard, weak,
B. higher, clay, weak, 
C. higher, hard, strong,
D. lower, grass, weak,
E. lower, hard, strong,
F. lower, clay, strong,
G. lower, hard, weak
H. None of above

[YOU (AI assistant)]: