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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 鈮 1).

e. P(Y = 3).

f. P(2 鈮 Y鈮 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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