Suppose a researcher is testing to see if a basketball player can make free throws at a rate higher than the NBA average of 75%. Th e player is tested by shooting 10 free throws and makes 8 of them. In conducting the related test of significance we have a computer applet do an appropriate simulation, with 1,000 repetitions, and produce a null distribution. Th is distribution represents:
A. Repeated results if the player makes 80% of his shots in the long run
B. Repeated results if the player makes 75% of his shots in the long run
C. Repeated results if the player makes more than 75% of his shots in the long run
D. Repeated results if the player makes more than 80% of his shots in the long run