
Probability and Statistics Basic Probability and Statistics Math Forum 
 LinkBack  Thread Tools  Display Modes 
February 21st, 2016, 12:27 PM  #1 
Newbie Joined: Feb 2016 From: Illinois Posts: 8 Thanks: 0  Discrete Probability Distributions
Can someone help me answer this? It's kind of lengthy but any help would be appreciated: You have been assigned the duty of determining Air Force jet "readiness" to defend against a terrorist attack in the Washington DC area. There are 16 F22a jet planes in the squadron that are to be scrambled in the event of a possible attack. "Readiness" is defined as "not less than 12 planes will launch on warning." Your aircraft mechanic staff have apprised you that, due to recent government cutbacks, there is a 30% chance that any given plane, among the 16, may not be flightworthy at a given instant because of maintenance. Your task: determine the probability that your unit is "ready" to defend Washington DC from air attack. Ready is defined as 12 or more (which is also "not less than 12") can fly at any given instant. Note that you have the probability of a plane NOT flying at a given instant; consider what the probability is of a plane FLYING at a given instant, as you consider your task. First hints: You need to determine the probability of readiness to answer this problem. You need to determine the probability of unreadiness. You need to think about compliments as well  what is the compliment of readiness? What is the compliment of unreadiness? What does "12 or more" mean? What does "11 or less" mean in this problem? a) Develop a complete discrete probability distribution for the 16 planes being ready to fly in this form b) Develop a discrete cummulative probability distribution to answer the question of likelihood of 11 or less planes being ready to fly ( 
February 21st, 2016, 01:45 PM  #2 
Global Moderator Joined: May 2007 Posts: 6,807 Thanks: 717 
The description is extra wordy. The probability is given by a binomial distribution. The probability that exactly k will be ready is $\displaystyle P_k=\binom {16}{k}0.7^k*0.3^{16k}$. You want $\displaystyle \sum_{k=12}^{16}P_k$. 
February 21st, 2016, 03:23 PM  #3 
Newbie Joined: Feb 2016 From: Illinois Posts: 8 Thanks: 0 
Thank you for the quick reply. It wants me to develop the distribution in this form: X  P(x) 0  1  2  3  4  So how would I get started doing that? 
February 21st, 2016, 06:45 PM  #4 
Senior Member Joined: Dec 2012 From: Hong Kong Posts: 853 Thanks: 311 Math Focus: Stochastic processes, statistical inference, data mining, computational linguistics  
February 21st, 2016, 06:51 PM  #5 
Newbie Joined: Feb 2016 From: Illinois Posts: 8 Thanks: 0  
February 21st, 2016, 10:50 PM  #6 
Senior Member Joined: Dec 2012 From: Hong Kong Posts: 853 Thanks: 311 Math Focus: Stochastic processes, statistical inference, data mining, computational linguistics  

Tags 
discrete, distributions, probability 
Thread Tools  
Display Modes  

Similar Threads  
Thread  Thread Starter  Forum  Replies  Last Post 
Risk and Probability distributions  chemdude  Advanced Statistics  0  November 6th, 2015 03:35 PM 
Normal Probability distributions  chapsticks  Probability and Statistics  1  October 28th, 2012 07:19 PM 
Probability Distributions  Chee  Probability and Statistics  1  May 31st, 2012 11:48 PM 
probability distributions function  koricha25  Advanced Statistics  0  May 19th, 2012 12:05 PM 
Probability Distributions!  Natalie89  Advanced Statistics  1  February 13th, 2011 04:44 PM 