respondent is selected at random‚ what is the probability that he or she a. prefers to order at the drive-through? b. is a male and prefers to order at the drive-through? c. is a male or prefers to order at the drive-through? d. Explain the difference in the results in (b) and (c). e. Given that a respondent is a male‚ what is the probability that he prefers to order at the drive-through? f. Given that a respondent is a female‚ what is the probability that she prefers to order at the drive-through
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Ans.1: Non-Probability Sampling: When the units of a sample are chosen so that each unit in the population does not have a calculable non-zero probability of being selected in the sample‚ this is called Non-Probability Sampling. Also‚ Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected. In contrast with probability sampling‚ non-probability sample is not a product
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The Collier Encyclopedia’s definition for probability is the concern for events that are not certain and the reasonableness of one expectation over another. These expectations are usually based on some facts about past events or what is known as statistics. Collier describes statistics to be the science of the classification and manipulation of data in order to draw inferences. Inferences here can be read to mean expectations‚ leading to the conclusion that the two go hand in hand in accomplishing
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same argument as above‚ we see that: 5000(0.3) + 10‚ 000(0.8) = The number of people who don’t ride the bus next year. = b2 This system of equations is equivalent to the matrix equation: M x = b where 0.7 0.2 0.3 0.8 5000 10‚ 000 b1 b2 M= 5500 ‚x = and b = . For computing the result after 2 years‚ we just use the same matrix M ‚ however we use b 9500 in place of x. Thus the distribution after 2 years is M b = M 2 x. In fact‚ after n years‚ the distribution is given by M n x. The forgoing
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new Household appliance to potential customers. She has found from her years of experience that after demonstration‚ the probability of purchase (long run average) is 0.30. To perform satisfactory on the job‚ the salesperson needs at least four orders this week. If she performs 15 demonstrations this week‚ what is the probability of her being satisfactory? What is the probability of between 4 and 8 (inclusive) orders? Solution p=0.30 q=0.70 n=15 k=4 [pic] Using Megastat we get
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Introduction 1 Freemark Abbey Winery Structuring Decisions Framework for Analyzing Risk 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
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movie because of the plot suffered and production of the movie was poor. The plot was a very apparent problem; with the bad pacing and easily avoidable plot it made for a less interesting movie. For the first thirty minutes of the movie the characters are introduced and the story of how Scotty Smalls became friends with the kids at the sandlot was shown. The rest of the movie‚ until the last thirty minutes‚ consisted only of random fillers that provided little for the plot that made the movie much
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14. If x has the probability distribution f(x) = 12x for x = 1‚2‚3‚…‚ show that E(2X) does not exist. This is famous Petersburg paradox‚ according to which a player’s expectation is infinite (does not exist) if he is to receive 2x dollars when‚ in a series of flips of a balanced coin‚ the first head appears on the xth flip. 17. The manager of a bakery knows that the number of chocolate cakes he can sell on any given day is a random variable having the probability distribution f(x) = 16 for x =
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cloud or the probability that it will rain‚ we move from pure simulation to Monte Carlo. The reason for this distinction is that there may be other ways to define A that make it easier to estimate. This process is called variance reduction‚ since most of the error in A is statistical. Reducing the variance of A reduces the statistical error. We often have a choice between Monte Carlo and deterministic methods. For example‚ if X is a one dimensional random variable with probability density f (x)
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The event I chose to write about is a TV show called Narcos. I chose Narcos for several reasons that relate to what we are talking about in class as well as being a decent representation of what politics are like in certain situations. The Plot of Narcos is that the American Government made a deal with Columbia to track down the major cocaine suppliers and drug lords and extradite them back to the United States for processing in the 1990’s. This show is based on true events and it represents many
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