/*! 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.6.13 A model proposed for NBA basketb... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

A model proposed for NBA basketball supposes that when two teams with roughly the same record play each other, the number of points scored in a quarter by the home team minus the number scored by the visiting team is approximately a normal random variable with mean 1.5 and variance 6. In addition, the model supposes that the point differentials for the four quarters are independent. Assume that this model is correct.

(a) What is the probability that the home team wins?

(b) What is the conditional probability that the home team wins, given that it is behind by 5 points at halftime?

(c) What is the conditional probability that the home team wins, given that it is ahead by 5 points at the end of the first quarter?

Short Answer

Expert verified

a) probability of home team winning is :P=0.8897

b) P= 0.2818

c) The conditional probability is P = 0.9874

Step by step solution

01

Part (a) - Step 1: To find

The probability that the home team wins.

02

Part (a) Step 2: Explanation

Let Z be the standard normal random variable:-

Probability of home team Winning :

Xiis the difference of home and visiting team

localid="1647576088013" =P∑i=13 Xi−624>−624≈P(Z>−1.2247)

From normal distribution table:

localid="1647576093710" P(Z>−1.2287)=1−Φ(−1.2247)=Φ(1.2247)=0.8897

Therefore the probability of home team wins is 0.8897.

03

Part (b) - Step 3: To find

What is the conditional probability that the home team wins, given that it is behind by 5 points at halftime?

04

Part (b) - Step 4: Explanation

Given that the home team is down by 5 points at halftime

P∑i=14Xi>0∣∑i=12Xi=-5

As after halftime (Two quarters ) =∑i=12Xi=-5

p=PX3+X4>5=PX3+X4−312>5−312=PX3−1.5+X4−1.512>212≈P(Z>0.5774)=1−Φ(0.5774)=1−0.7180p=0.2818

05

Part (c) - Step 5: To find

What is the conditional probability that the home team wins, given that it is ahead by 5 points at the end of the first quarter.

06

Part (c) - Step 6: Explanation

P∑i=14Xi>0∣X1=5=PX2+X3+X4>-5

Therefore X1+X2+X3+X4>0 (for home team win)

Xi=5

⇒X2+X3+X4>−5p=PX2+X3+X4−4.56+6+6>−9.518=P(Z>−2.239)=Φ(2.239)=0.9874

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

Choose a number X at random from the set of numbers 1,2,3,4,5. Now choose a number at random from the subset no larger than X, that is, from 1...,X. Call this second number Y.

(a) Find the joint mass function of X and Y.

(b) Find the conditional mass function of X given that Y = i. Do it for i = 1,2,3,4,5.

(c) Are X and Y independent? Why?

An insurance company supposes that each person has an accident parameter and that the yearly number of accidents of someone whose accident parameter is λ is Poisson distributed with mean λ. They also suppose that the parameter value of a newly insured person can be assumed to be the value of a gamma random variable with parameters s and α. If a newly insured person has n accidents in her first year, find the conditional density of her accident parameter. Also, determine the expected number of accidents that she will have in the following year.

The joint density function of X and Y is f(x,y)=xy â¶Ä…â¶Ä…â¶Ä…0<x<1,0<y<20 â¶Ä…â¶Ä…â¶Ä…otherwise

(a) Are X and Y independent?

(b) Find the density function of X.

(c) Find the density function of Y.

(d) Find the joint distribution function.

(e) FindE[Y].

(f) FindP[X+Y<1]

Suppose that A, B, C, are independent random variables, each being uniformly distributed over0,1.

(a) What is the joint cumulative distribution function of A, B, C?

(b) What is the probability that all of the roots of the equation AX2+Bx+C=0are real?

Two points are selected randomly on a line of length L so as to be on opposite sides of the midpoint of the line. [In other words, the two points X and Y are independent random variables such that X is uniformly distributed over (0, L/2) and Y is uniformly distributed over (L/2, L).] Find the probability that the distance between the two points is greater than L/3

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.