Answer:
The mean number of tiebreakers is of 35.2 and the standard deviation is of 5.44.
Step-by-step explanation:
For each set, there are only two possible outcomes. Either it goes to a tiebreak, or it does not. The probability of a set going to a tiebreak is independent of any other set, which means that the binomial probability distribution is used to solve this question.
Binomial probability distribution
Probability of exactly x successes on n repeated trials, with p probability.
The expected value of the binomial distribution is:
[tex]E(X) = np[/tex]
The standard deviation of the binomial distribution is:
[tex]\sqrt{V(X)} = \sqrt{np(1-p)}[/tex]
The probability that a tennis set will go to a tiebreaker is 16%.
This means that [tex]p = 0.16[/tex]
220 randomly selected tennis sets
This means that [tex]n = 220[/tex]
What is the mean and the standard deviation of the number of tiebreakers?
[tex]E(X) = np = 220*0.16 = 35.2[/tex]
[tex]\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{220*0.16*0.84} = 5.44[/tex]
The mean number of tiebreakers is of 35.2 and the standard deviation is of 5.44.
