ANSWER THE FOLLOWING QUESTIONS. SHOW YOUR SOLUTIONS AND ENCIRCLE YOUR FINAL ANSWERS. SUBMIT THIS ON WEDNESDAY.
1. Suppose that the likelihood that someone who logs into a particular site in a shopping mall on the web will purchase an item is .20. If the site has 10 people accessing it in the next minute, what is the probability that a) Exactly 2 individuals will purchase an item?
b) At least 2 individuals will purchase an item?
c) At most 2 individuals will purchase an item?
2. The quality Control Manager of ATV Cookies is inspecting a batch of chocolatechip cookies that has been baked. If the production process is in control, the average number of chip parts per cookie is 6. What is the probability that in any particular cookie being inspected a) Exactly five chip parts will be found?
b) Fewer than five chip parts will be found?
c) Five or more chip parts will be found?
3. An important part of the customer service responsibilities of a telephone company relate to the speed with which troubles in residential service can be repaired. Suppose past data indicate that the likelihood is .70 that troubles in residential service can be repaired on the same day. For the first five troubles reported on a given day, what is the probability that a) All five will be repaired on the same day?
b) At least three will be repaired on the same day?
c) Fewer than two will be repaired on the same day?
4. A state lottery is conducted in which six winning numbers are selected from a total of 54 numbers. What is the probability that if six numbers are randomly selected a) All six numbers will be winning numbers?
b) Four numbers will be winning numbers?
c) None of the numbers will be winning numbers?
5. The average number of claims per hour made to the Philam Insurance company for disabilities and death is 3.1. what is the probability that in any given hour a) Fewer than three...
...
_____
1. What is mean, variance and expectations?
Mean  The mean of a discrete random variable X is a weighted average of the possible values that the random variable can take. Unlike the sample mean of a group of observations, which gives each observation equal weight, the mean of a random variable weights each outcome xi according to its probability, pi. The mean also of a random variable provides the longrun average of the variable, or...
...Tutorial on DiscreteProbability Distributions
Tutorial on discreteprobability distributions with examples and detailed solutions.

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Web  www.analyzemath.com 

Bottom of Form 
 Let X be a random variable that takes the numerical values X1, X2, ..., Xn with probablities p(X1), p(X2), ..., p(Xn) respectively. A discrete...
...PROBABILITY and MENDELIAN GENETICS LAB
Hypothesis: If we toss the coin(s) for many times, then we will have more chances to reach the prediction that we expect based on the principle of probability.
Results:
As for part 1: probability of the occurrence of a single event, the deviation of heads and tails of 20 tosses is zero, which means that the possibility of heads and tails is ten to ten, which means equally chances. The deviation of heads and...
...QMT200
CHAPTER 3: PROBABILITY DISTRIBUTION
3.1
RANDOM VARIABLES AND PROBABILITY DISTRIBUTION
Random variables is a quantity resulting from an experiment that, by chance, can assume different values. Examples of random variables are the number of defective light bulbs produced during the week and the heights of the students is a class. Two types of random variables are discrete random variables and continuous random variable.
3.2...
...The North Star Concert North Star.xls Best Guess, Worst Case, Best Case; and Continuous Uncertainties
3 Engine Services, Inc.
Quick Start Guide to Crystal Ball
Analyzing Uncertainty, Probability Distributions, and Simulation Learning Module: Crystal Ball Litigate Demo
Engine Services.xls Language of Probability Distributions and Monte Carlo Simulation
4 Taurus Telecommunications Corporation: A New Prepaid Phone Card Learning Module: Tornado Sensitivity
Taurus...
...Technology & Science, Pilani
WorkIntegrated Learning Programmes Division
Second Semester 20102011
Course Handout
Course Number
Course Title
: AAOC ZC111
: Probability and Statistics
Course Email address : aaoczc111@dlpd.bitspilani.ac.in
Course Description
Probability spaces; conditional probability and independence; random variables and probability
distributions; marginal and conditional distributions; independent random...
...PROBABILITY DISTRIBUTION
In the world of statistics, we are introduced to the concept of probability. On page 146 of our text, it defines probability as "a value between zero and one, inclusive, describing the relative possibility (chance or likelihood) an event will occur" (Lind, 2012). When we think about how much this concept pops up within our daily lives, we might be shocked to find the results. Oftentimes, we do not think in these terms, but...
...random. What is the probability that at least one pair of shoes is obtained? 2. At a camera factory, an inspector checks 20 cameras and ﬁnds that three of them need adjustment before they can be shipped. Another employee carelessly mixes the cameras up so that no one knows which is which. Thus, the inspector must recheck the cameras one at a time until he locates all the bad ones. (a) What is the probability that no more than 17 cameras need to be rechecked? (b)...
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