"Coin flip probability" Essays and Research Papers

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    ------------------------------------------------- ------------------------------------------------- Research Paper ------------------------------------------------- THE PROBABILITY OF FINANCIAL CRISIS IN THE USA IN 2012-2013 ------------------------------------------------- Ilias Habbasov ------------------------------------------------- ------------------------------------------------- BBA course submitted to Elżbieta Jendrych‚ PhD on 3 December 2012 Winter Semester 2012/2013

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    t) P (X > s + t) P (X > t) e−λ(s+t) e−λt e−λs P (X > s) – Example: Suppose that the amount of time one spends in a bank is exponentially distributed with mean 10 minutes‚ λ = 1/10. What is the probability that a customer will spend more than 15 minutes in the bank? What is the probability that a customer will spend more than 15 minutes in the bank given that he is still in the bank after 10 minutes? Solution: P (X > 15) = e−15λ = e−3/2 = 0.22 P (X > 15|X > 10) = P (X > 5) = e−1/2 =

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    PROBABILITY QUESTIONS Q1). You draw a card at random from a standard deck of 52 cards. Neither you nor anyone else looked at the card you picked. You keep it face down. Your friend then picks a card at random from a remaining 51 cards. a) What is the probability that your card is ace of spades? 1/52 b) What is the probability that your friend’s card is ace of spades? (Hint: Construct the sample space for what your friend’s card can be.) 1/51 c) You turn over your card and it is 10 of

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    True/False Questions 1. The standard deviation of any normal random variable is always equal to one. Answer: False Type: Concept Difficulty: Easy 2. For any normal random variable‚ the probability that the random variable will equal one is always zero. Answer: True Type: Concept Difficulty: Medium 3. The graph of a standard normal random variable is always symmetric. Answer: True Type: Concept Difficulty: Easy 4. The formula will convert any normal

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    Karan negi 12.2 12.3 We use equation 2 to find out probability: F(t)=1 – e^-Lt 1-e^-(0.4167)(10) = 0.98 almost certainty. This shows that probability of another arrival in the next 10 minutes. Now we figure out how many customers actually arrive within those 10 minutes. If the mean is 0.4167‚ then 0.4167*10=4.2‚ and we can round that to 4. X-axis represents minutes (0-10) Y-axis represents number of people. We can conclude from this chart that the highest point with the most visitors

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    Probability From Wikipedia‚ the free encyclopedia Jump to: navigation‚ search Probability Outline Catalog of articles Probabilists Glossary Notation Journals Category v t e Certainty series Agnosticism Approximation Belief Certainty Doubt Determinism Epistemology Fallibilism Fatalism Hypothesis Justification Nihilism Probability Scientific theory Skepticism Solipsism Theory Truth Uncertainty v t e Probability (or likelihood[1])

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    SENIOR RESEARCH Topic: Examining the effects of elimination of a coin denomination in Thailand NAME: Metapon Amorntirasan ID: 524 58874 29 Advisor: SittidajPongkijvorasin‚ Ph.D Date: January 20‚ 2013 Senior Research Submitted in Partial Fulfillment of the Requirements for the Bachelor of Arts degree in Economics (International Program) The Bachelor of Arts Program in Economics Faculty of Economics Chulalongkorn University Academic year 2012 Approved _________________________________________ (Assoc

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    Two sides of the same coin: Justice and Peace By: Melduard Hernandez One of the latest news today is about the Vizconde Massacre. As what the DOJ Officials said‚ “It is a long road back to 1991.” The related rumors were why it is that Hubert Webb and other accused persons acquitted by the Supreme Court of the Philippines? Who are the real suspects of the case? Why is it that eye witness Jessica Alfaro considered now as false witness? There were so many questions and mysteries that were attached

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    Hadley Smith uses indirect and direct characterization to evince how Hadley is a clumsy and unlucky person. Hadley first reveals her clumsy sides by forgetting her stuff‚ making everything drop on the floor or being late for her plane. Not only she misses her plane‚ but she also has to sleep in a tiny airport chamber‚ being claustrophobic. Smith says “Or later: if she hadn’t given herself a paper cut while printing out her ticket‚ if she hadn’t lost her charger‚ if there hadn’t been traffic on the

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    bagel. (a) Find the probability distribution for X. (b) Suppose at least 3 people buy a plain bagel. What is the probability that exactly 4 people buy a plain bagel? 3. The probability distribution for a discrete random variable X is given by the formula p(r) = for r = 1‚ 2‚ . . . ‚ 6. (a) Verify that this is a valid probability distribution. (b) Find P (X = 4). (c) Find P (X > 2). (d) Find the probability that X takes on the value 3 or 4. (e) Construct the corresponding probability histogram. 4. Two

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