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Major Hurricanes. The Atlantic Hurricane Database extends back to 1851, recording among other things the number of major hurricanes striking the U.S. Atlantic and Gulf Coast per year. A major hurricane is a hurricane measuring at least a Category 3 on the Saffir-Simpson hurricane wind scale (i.e., with winds of at least 110 mph). As published by the National Oceanic & Atmospheric Administration and the Atlantic Oceanographic & Meteorological Laboratory, the following table provides a probability distribution for the number of major hurricanes, Y, for a randomly selected year between 1851 and 2012.

Use random-variable notation to represent each of the following events. The year had

a. at least one major hurricane.

b. exactly three major hurricanes.

c. between 2 and 4 major hurricanes, inclusive.

Use the special addition rule and the probability distribution to determine

d. P(Y ≥ 1).

e. P(Y = 3).

f. P(2 ≤ Y≤ 4)

Short Answer

Expert verified

Part a. Y 2

Part b. Y = 3

Part c. 2 Y 4

Part d. P(Y 1) = 0.815

Part e. P(Y = 3) = 0.093

Part f. P(2 Y 4) = 0.408

Step by step solution

01

Part (a) Step 1. Given information

The probability distribution for the number of significant hurricanes, Y, for a year chosen at random between 1851 and 2012 is depicted below.

Y

P(Y = y)

0

0.185

1

0.296

2

0.266

3

0.093

4

0.049

5

0.056

6

0.037

7

0.012

8

0.006

02

Part (a) Step 3. Solution

At least one big storm is defined as one hurricane that is stronger than or equal to another hurricane.

As a result, the notation for random variables is,

Y 2

03

Part (b) Step 1. Solution 

Because there have been three big hurricanes, the random variable value must be three.

As a result, the notation for random variables is,

Y = 3

04

Part (c) Step 1. Solution 

Between two and four major hurricanes, inclusive meaning, the random variable value must include two and four major hurricanes.

As a result, the notation for random variables is,

2 Y 4

05

Part (d) Step 1. Solution 

P(Y1)=P(Y=1)+P(Y=2)+P(Y=3)+P(Y=4)+P(Y=5)+P(Y=6)+P(Y=7)+P(Y=8)

=1-P(X=0)

=1-0.185

=0.815

06

Part (e) Step 1. Solution 

The random variable's probability of taking the value 3 is,

P(Y=3)=0.093

07

Part (f) Step 1. Solution 

P(2Y4)=P(Y=2)+P(Y=3)+P(Y=4)

=0.266+0.093+0.049

=0.408

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Most popular questions from this chapter

Oklahoma State Officials. Refer to Table 5.1 on page 196.

(a). List the possible samples without replacement of size 3 that can be obtained from the population of five officials. (Hint: There are 10 possible samples.)

If a simple random sample without replacement of three officials is taken from the five officials, determine the probability that

(b). the governor, attorney general, and treasurer are obtained.

(c). the governor and treasurer are included in the sample.

(d). the governor is included in the sample.

What does the probability distribution of a discrete random variable tell you?

For each of the following probability histograms of binomial distributions, specify whether the success probability is less than, equal to, or greater than 0.5. Explain your answers.

In each of Exercises 5.167-5.172, we have provided the number of trials and success probability for Bernoulli trials. Let X denote the total number of successes. Determine the required probabilities by using

(a) the binomial probability formula, Formula 5.4 on page 236. Round your probability answers to three decimal places.

(b) Table VII in Appendix A. Compare your answer here to that in part (a).

n=4,p=0.3,P(X=2)

In each of Exercises 5.167-5.172, we have provided the number of trials and success probability for Bernoulli trials. LetX denote the total number of successes. Determine the required probabilities by using

(a) the binomial probability formula, Formula 5.4 on page 236. Round your probability answers to three decimal places.

(b) TableVII in AppendixA. Compare your answer here to that in part (a).

n=5,p=0.6,P(X=3)

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