/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q13 Tennis Replay In the year that ... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

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 sizen=879 and probability of success p=0.25.

Then,

q=1-p=1-0.25=0.75

02

Check the requirement

From the given information,

np=879×0.25=219.75>5

nq=879×0.75=659.25>5

Here both and 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,

μ=np=879×0.25=219.75

The standard deviation is,

σ=npq=879×0.25×0.75=12.84

04

Continuity correction

(a)

The probability of getting exactly 231 overturned calls is expressed using continuity correction,For PX=nusePn-0.5<X<n+0.5

That is,

PX=231=P231-0.5<X<231+0.5=P230.5<X<231.5

Thus, the expression is P230.5<X<231.5...1

05

Compute the corresponding Z-scores

The z-scores using x=230.5, μ=219.75σ=12.84as follows:

z=x-μσ=230.5-219.7512.84=0.84

The z-score is 0.84.

Find zscore usingx=231.5, μ=219.75,σ=12.84as follows:

z=x-μσ=231.5-219.7512.84=0.92

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,

P0.84<Z<0.92=PZ<0.92-PZ<0.84=0.2005-0.1788=0.0217

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

06

 Step 6: Compute the probability of 231 or more events

b.

The probability that 231 or more calls are overturned is expressed using continuity correctionPX⩾nusePX>n+0.5

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

PX⩾231=PX>231+0.5=PX>231.5...2

Find zscore usingx=231.5,μ=219.75,σ=12.84as follows:

z=x-μσ=231.5-219.7512.84=0.84

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 Pxormore⩽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 91Ó°ÊÓ!

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 13–20, use the data in the table below for sitting adult males and females (based on anthropometric survey data from Gordon, Churchill, et al.). These data are used often in the design of different seats, including aircraft seats, train seats, theatre seats, and classroom seats. (Hint: Draw a graph in each case.)

Mean

St.Dev.

Distribution

Males

23.5 in

1.1 in

Normal

Females

22.7 in

1.0 in

Normal

Find the probability that a male has a back-to-knee length between 22.0 in. and 24.0 in.

In Exercises 13–20, use the data in the table below for sitting adult males and females (based on anthropometric survey data from Gordon, Churchill, et al.). These data are used often in the design of different seats, including aircraft seats, train seats, theater seats, and classroom seats. (Hint: Draw a graph in each case.)

Sitting Back-to-Knee Length (Inches)

Mean

St. Dev

Distribution

Males

23.5 in

1.1 in

Normal

Females

22.7 in

1.0 in

Normal

Instead of using 0.05 for identifying significant values, use the criteria that a value x is significantly high if P(x or greater) ≤ 0.01 and a value is significantly low if P(x or less) ≤ 0.01. Find the back-to-knee lengths for males, separating significant values from those that are not significant. Using these criteria, is a male back-to-knee length of 26 in. significantly high?

Standard normal distribution. In Exercise 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 score. If using technology instead of Table A-2, round answers to four decimal places.

Less than 1.28

Continuous Uniform Distribution. In Exercises 5–8, refer to the continuous uniform distribution depicted in Figure 6-2 and described in Example 1. Assume that a passenger is randomly selected, and find the probability that the waiting time is within the given range.


Less than 4.00 minutes

Basis for the Range Rule of Thumb and the Empirical Rule. In Exercises 45–48, find the indicated area under the curve of the standard normal distribution; then convert it to a percentage and fill in the blank. The results form the basis for the range rule of thumb and the empirical rule introduced in Section 3-2.

About______ % of the area is between z = -3.5 and z = 3.5 (or within 3.5 standard deviation of the mean).

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.