/*! 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} Q. 5.177 According to the Daily Racing Fa... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

According to the Daily Racing Farm, the probability is about \(0.67\) that the favorite in a horse race will finish in the money (first, second or third place). In the next five races, what is the probability that the favorite finishes in the money.

a. exactly twice?

b. exactly four times

c. at least four times?

d. between two and four times, inclusive?

e. Determine the probability distribution of the random variable \(X\), the number of times the favorite finishes in the money in the next five races.

f. Identify the probability distribution of \(X\) as right skewed, symmetric or left skewed without consulting its probability distribution or drawing its probability histogram.

g. Draw a probability histogram for \(X\).

h. Use your answer from part (c) and definitions \(5.9\) and \(5.10\) on pages \(227\) and \(229\) respectively to obtain the mean and standard deviation of the random variable \(X\).

i. Use formula \(5.5\) on page \(239\) to obtain the mean and standard deviation of the random variable \(X\).

j. Interpret your answer for the mean in words.

Short Answer

Expert verified

Part a. \(0.1613\)

Part b. \(0.3325\)

Part c. \(0.4675\)

Part d. \(0.8213\)

Part e.

\(x\) \(0\) \(1\)
\(2\)
\(3\)
\(4\)
\(5\)
\(P(X=x)\) \(0.0039\)
\(0.0097\)
\(0.1613\)
\(0.3275\)
\(0.3325\)
\(0.1350\)

Part f. Left skewed

Part g.

Part h. \(\mu =3.3498\)

\(\sigma =1.0518\)

Part i. \(\mu =3.35\)

\(\sigma =1.0514\)

Part j. On average, the favorite finish in the money in \(3.35\) out of \(5\) horse races.

Step by step solution

01

Part a. Step 1. Given information

In a horse race, the probability of a favorite finish in the money is \(0.67\). Consider the next five races.

02

Part a. Step 2. Calculation

From the given information it can conclude that the number of times the favorite finish in the money follows a binomial distribution with \(n=5\) and \(p=0.67\).

Let the random variable \(X\) is that the number of times the favorite finish in the money among five races.

The probability of exactly two times the favorite finish in the money is

\(P(X=2)=\left ( \frac{5}{2} \right )0.67^{2}(1-0.67)^{5-2}\)

\(=0.1613\)

03

Part b. Step 1. Explanation

The probability of exactly four times the favorite finish in the money is

\(P(X=4)=\left ( \frac{5}{4} \right )0.67^{4}(1-0.67)^{5-4}\)

\(=0.3325\)

04

Part c. Step 1. Explanation

The probability of at least four times the favorite finish in the money is

\(P(X\geq 4)=P(X=4)+P(X=5)\)

\(=\binom{5}{4}0.67^{4}(1-0.67)^{5-4}+\binom{5}{5}0.67^{5}(1-0.67)^{5-5}\)

\(=0.3325+0.1350\)

\(=0.4675\)

05

Part d. Step 1. Calculation

The probability of between two and four times inclusively the favorite finish in the money is

\(P(2\leq X\leq 4)=P(X=2)+P(X=3)+P(X=4)\)

\(=\binom{5}{2}0.67^{2}(1-0.67)^{5-2}+\binom{5}{3}0.67^{3}(1-0.67)^{5-3}+\binom{5}{4}0.67^{4}(1-0.67)^{5-4}\)

\(=0.1613+0.3275+0.3325\)

\(=0.8213\)

06

Part f. Step 1. Calculation

Evaluate the probabilities at \(x=0,1,2,3,4,5\)

\(P(X=0)=\binom{5}{0}0.67^{0}(1-0.67)^{5-0}\)

\(=0.0039\)

\(P(X=1)=\binom{5}{1}0.67^{1}(1-0.67)^{5-1}\)

\(=0.0397\)

\(P(X=2)=\binom{5}{2}0.67^{2}(1-0.67)^{5-2}\)

\(=0.1613\)

\(P(X=3)=\binom{5}{3}0.67^{3}(1-0.67)^{5-3}\)

\(=0.3275\)

\(P(X=4)=\binom{5}{4}0.67^{4}(1-0.67)^{5-4}\)

\(=0.3325\)

\(P(X=5)=\binom{5}{5}0.67^{5}(1-0.67)^{5-5}\)

\(=0.1350\)

Combining this information in a table, it can obtain the probability distribution:

\(x\) \(0\) \(1\)
\(2\)
\(3\)
\(4\)
\(5\)
\(P(X=x)\) \(0.0039\)
\(0.0097\)
\(0.1613\)
\(0.3275\)
\(0.3325\)
\(0.1350\)
07

Part f. Step 1. Calculation

The binomial distribution is

  • Symmetric if \(p=0.5\),
  • Skewed to left if \(p>0.5\),
  • Skewed to right if \(p<0.5\).

In this case, \(p=0.67>0.5\).

Therefore the distribution is skewed to left.

08

Part g. Step 1. Explanation

The height of the bars are equal to the probability and the bars are centered about the values of \(X\).

09

Part h. Step 1. Calculation

The mean

\(\mu =\binom{0\times 0.0039+1\times 0.0397+2\times 0.1613}{3\times 0.3275+4\times 0.3325+5\times 0.1350}\)

\(=3.3498\)

The standard deviation

\(\sigma =\sqrt{0^{2}\times0.0039+1^{2}\times0.0397+2^{2}\times0.1613+3^{2}\times0.3275+4^{2}\times0.3325+5^{2}0.1350-3.3498^{2}}\)

\(=1.0518\)

10

Part i. Step 1. Calculation

The mean

\(\mu =5\times0.67\)

\(=3.35\)

The standard deviation

\(\sigma =\sqrt{5\times0.67\times(1-0.67)}\)

\(=1.0514\)

Note that the small difference with the results of part (h) are due to rounding error.

11

Part j. Step 1. Explanation

Interpretation:

On average, the favorite finish in the money in \(3.35\) out of \(5\) horse races.

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

Die and coin. Consider the following random experiment : First , roll a die and observe the number of dots facing up: then toss a coin the number of times that the die shows and observe the total number of heads. Thus , if the die shows three dots facing up and the coin (which is then tossed tree times) comes up heads exactly twice, then the outcome of the experiment can be represent as (3,2).

Part (a) Determine a sample space for this experiment.

Part (b) Determine the events that the total number of heads is even.

The Hypergeometric Distribution. In this exercise, we discuss the hypergeometric distribution in more detail. When sampling is done without replacement from a finite population, the hypergeometric distribution is the exact probability distribution for the number of members sampled that have a specified attribute. The hypergeometric probability formula is

PX=x=NpxN1-pn-xNn,

where Xdenotes the number of members sampled that have the specified attribute, Nis the population size, nis the sample size, and pis the population proportion.

To illustrate, suppose that a customer purchases 4 fuses from a shipment of 250, of which 94 % are not defective. Let a success correspond to a fuse that is not defective.

(a) Determine N, n, and p.

(b) Apply the hypergeometric probability formula to determine the probability distribution of the number of nondefective fuses that the customer gets.

Key Fact 5.6 shows that a hypergeometric distribution can be approximated by a binomial distribution, provided the sample size does not exceed 5% of the population size. In particular, you can use the binomial probability formula

P(X=x)=nxpx1-pn-x

with n=4andp=0.94, to approximate the probability distribution of the number of nondefective fuses that the customer gets.

(c) Obtain the binomial distribution with parameters n=4andp=0.94.

(d) Compare the hypergeometric distribution that you obtained in part (b) with the binomial distribution that you obtained in part (c).

Evaluating Investments. An investor plans to put $50.000 in one of four investments. The return on each investment depends on whether next year's economy is strong or weak. The following table summarizes the possible payoffs. in dollars for the four investments.

Let V, W, X and Y denotes the payoffs for the certificate or deposit office complex, land speculation. and technical school, respectively the V, W, X and Y are random variables . assume that nest year's economy has a 40% chance of being strong and a 60% chance of being weak.

Part(a) Find the probability distribution of each random variable V, W, X, and Y

Part (b) Determine the expected value of each random variable.

Part (c) Which investment has the best expected payoffs? the worst?

Part (d) Which investment would you select? Explain

In 10 Bernoulli trials, how many outcomes contain exactly three successes?

Suppose that A and B are events such that P(A)=14,P(B)=13and P(AorB)=12

Part (a). Are event A and B mutually exclusive ? Explain your answer.

Part (b) FindP(A&B)

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.