Tennis ReplayIn the year that this exercise was written, there were 879 challenges made to referee calls in professional tennis singles play. Among those challenges, 231 challenges were upheld with the call overturned. Assume that in general, 25% of the challenges are successfully upheld with the call overturned.

a.If the 25% rate is correct, find the probability that among the 879 challenges, the number of overturned calls is exactly 231.

b.If the 25% rate is correct, find the probability that among the 879 challenges, the number of overturned calls is 231 or more. If the 25% rate is correct, is 231 overturned calls among 879 challenges a result that is significantly high?

Short Answer

Expert verified

a. The probability of that the number of overturned calls exactly is 231 is 0.0217.

b. The probability of that the number of overturned calls is 231 or more is 0.2012. The result is not significantly high.

Step by step solution

01

Given information

The number of challenges made to referee calls in professional tennis singles play is recorded.

The given sample size\(n = 879\)and probability of success \(p = 0.25\).

Then,

\(\begin{aligned}{c}q = 1 - p\\ = 1 - 0.25\\ = 0.75\end{aligned}\)

02

Check the requirement

From the given information,

\(\begin{aligned}{c}np = 879 \times 0.25\\ = 219.75\\ > 5\end{aligned}\)

\(\begin{aligned}{c}nq = 879 \times 0.75\\ = 659.25\\ > 5\end{aligned}\)

Here both\({\bf{np}}\)and\({\bf{nq}}\)are greater than 5. Thus, probabilities from a binomial

probability distribution can be approximated reasonably well by using a normal distribution.

03

Mean and standard deviation for normal distribution

The mean value is,

\(\begin{aligned}{c}\mu = np\\ = 879 \times 0.25\\ = 219.75\end{aligned}\)

The standard deviation is,

\(\begin{aligned}{c}\sigma = \sqrt {npq} \\ = \sqrt {879 \times 0.25 \times 0.75} \\ = 12.84\end{aligned}\)

04

Continuity correction

(a)

The probability of getting exactly 231 overturned calls is expressed using continuity correction,For \(P\left( {X = n} \right)\;{\rm{use}}\;P\left( {n - 0.5 < X < n + 0.5} \right)\)

That is,

\(\begin{aligned}{c}P\left( {X = 231} \right) = P\left( {231 - 0.5 < X < 231 + 0.5} \right)\\ = P\left( {230.5 < X < 231.5} \right)\end{aligned}\)

Thus, the expression is \[P\left( {230.5 < X < 231.5} \right)\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;...\left( 1 \right)\]

05

Compute the corresponding Z-scores

The z-scores using \(x = 230.5\),\(\mu = 219.75\;\sigma = 12.84\) as follows:

\(\begin{aligned}{c}z = \frac{{x - \mu }}{\sigma }\\ = \frac{{230.5 - 219.75}}{{12.84}}\\ = 0.84\end{aligned}\)

The z-score is 0.84.

Find zscore using\(x = 231.5\),\(\mu = 219.75,\sigma = 12.84\) as follows:

\(\begin{aligned}{c}z = \frac{{x - \mu }}{\sigma }\\ = \frac{{231.5 - 219.75}}{{12.84}}\\ = 0.92\end{aligned}\)

The z-score is 0.92.

Using standard normal table, the z-scores \(z = 0.84\) and \(z = 0.92\), yield cumulative areas of 0.2005 and 0.1788.

The equation (1) implies,

\(\begin{aligned}{c}P\left( {0.84 < Z < 0.92} \right) = P\left( {Z < 0.92} \right) - P\left( {Z < 0.84} \right)\\ = 0.2005 - 0.1788\\ = 0.0217\end{aligned}\)

Thus, the probability that exactly 231 calls are overturned is 0.0217.

06

Compute the probability of 231 or more events

b.

The probability that 231 or more calls are overturned is expressed using continuity correction\(P\left( {X \ge n} \right)\;{\rm{use}}\;P\left( {X > n + 0.5} \right)\)

Thus, the probability that 231 or more calls are overturned,

\(\begin{aligned}{c}P\left( {X \ge 231} \right) = P\left( {X > 231 + 0.5} \right)\\ = P\left( {X > 231.5} \right)\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;...\left( 2 \right)\end{aligned}\)

Find zscore using\(x = 231.5\),\(\mu = 219.75,\sigma = 12.84\) as follows:

\(\begin{aligned}{c}z = \frac{{x - \mu }}{\sigma }\\ = \frac{{231.5 - 219.75}}{{12.84}}\\ = 0.84\end{aligned}\)

The z-score is 0.84.

Using standard normal table, the z-score corresponding to 231.5 is \(z = 0.84\), which yield cumulative areas 0.2012.

If \(P\left( {x\;{\rm{or}}\;{\rm{more}}} \right) \le 0.05\), then it is significantly high.

But In our case, 0.2012 > 0.05. Therefore, it is not significantly high.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

In Exercises 5–8, find the area of the shaded region. The graphs depict IQ scores of adults, and those scores are normally distributed with a mean of 100 and a standard deviation of 15 (as on the Wechsler IQ test).

Standard Normal DistributionIn Exercises 17–36, assume that a randomly selected subject is given a bone density test. Those test scores are normally distributed with a mean of 0 and a standard deviation of 1. In each case, draw a graph, then find the probability of the given bone density test scores. If using technology instead of Table A-2, round answers

to four decimal places.

Greater than 0.25

In Exercises 21–24, use these parameters (based on Data Set 1 “Body Data” in Appendix B):• Men’s heights are normally distributed with mean 68.6 in. and standard deviation 2.8 in.• Women’s heights are normally distributed with mean 63.7 in. and standard deviation 2.9 in.Mickey Mouse Disney World requires that people employed as a Mickey Mouse character must have a height between 56 in. and 62 in.

a. Find the percentage of men meeting the height requirement. What does the result suggest about the genders of the people who are employed as Mickey Mouse characters?

b. If the height requirements are changed to exclude the tallest 50% of men and the shortest 5% of men, what are the new height requirements?

Curving Test Scores A professor gives a test and the scores are normally distributed with a mean of 60 and a standard deviation of 12. She plans to curve the scores.

a. If she curves by adding 15 to each grade, what is the new mean and standard deviation?

b. Is it fair to curve by adding 15 to each grade? Why or why not?

c. If the grades are curved so that grades of B are given to scores above the bottom 70% and below the top 10%, find the numerical limits for a grade of B.

d. Which method of curving the grades is fairer: adding 15 to each original score or using a scheme like the one given in part (c)? Explain.

In Exercises 11–14, use the population of {34, 36, 41, 51} of the amounts of caffeine (mg/12oz) in Coca-Cola Zero, Diet Pepsi, Dr Pepper, and Mellow Yello Zero.

Assume that  random samples of size n = 2 are selected with replacement.

Sampling Distribution of the Sample Mean

a. After identifying the 16 different possible samples, find the mean of each sample, then construct a table representing the sampling distribution of the sample mean. In the table, combine values of the sample mean that are the same. (Hint: See Table 6-3 in Example 2 on page 258.)

b. Compare the mean of the population {34, 36, 41, 51} to the mean of the sampling distribution of the sample mean.

c. Do the sample means target the value of the population mean? In general, do sample means make good estimators of population means? Why or why not?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free