Tutorial on Discrete Probability Distributions Tutorial on discrete probability distributions with examples and detailed solutions. ------------------------------------------------- Top of Form | 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 distribution consists of the values of the random variable X and their corresponding
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Discrete and Continuous Probability All probability distributions can be categorized as discrete probability distributions or as continuous probability distributions (stattrek.com). A random variable is represented by “x” and it is the result of the discrete or continuous probability. A discrete probability is a random variable that can either be a finite or infinite of countable numbers. For example‚ the number of people who are online at the same time taking a statistics class at CTU on
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Probability distribution Definition with example: The total set of all the probabilities of a random variable to attain all the possible values. Let me give an example. We toss a coin 3 times and try to find what the probability of obtaining head is? Here the event of getting head is known as the random variable. Now what are the possible values of the random variable‚ i.e. what is the possible number of times that head might occur? It is 0 (head never occurs)‚ 1 (head occurs once out of 2 tosses)
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SECTION 2: TIME VALUE OF MONEY Decision problems in business usually involve a decision over whether to accept one alternative over another‚ or whether to implement a plan or not. In most cases‚ the effects of these decisions are felt in the future. Examples: Expand into a new market (geographical‚ consumer segment‚ etc.) or not? Now or later? Outsource production or keep it in-house? Grow organically or acquire a competitor? Or don’t grow at all? Purchase shares in Microsoft
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Assignment Q1Find the parameters of binomial distribution when mean=4 and variance=3. Q2. The output of a production process is 10% defective. What is the probability of selecting exactly two defectives in a sample of 5? Q3. It is observed that 80% of television viewers watch “Boogie-Woogie” Programme. What is the probability that at least 80% of the viewers in a random sample of five watch this Programme? Q4. The normal rate of infection of a certain disease in animals is known to
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_____ 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 long-run average of the variable‚ or the expected average outcome over many observations
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schools during sex education classes. The side for condom distribution argues that condoms should be distributed because they protect against sexually transmitted diseases (STDs). While the side against condom distribution says that it is immoral and promotes teenage sex. Condom distribution is unethical and should be stopped because it gives teens mixed messages about having sex‚ which they are not emotionally mature enough to handle yet and condones premarital sex. Condom distribution needs to end because it makes teens think that it’s normal to have
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Sampling distribution The sampling distribution is the distribution of the values of a sample statistic computed for each possible sample that could be drawn from the target population under a specified sampling plan. Because many different samples could be drawn from a population of elements‚ the sample statistics derived from any one sample will likely not equal the population parameters. As a result‚ the sampling distribution supplies an approximation of the true value’s population parameters
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DEFINITION: NORMAL adjective 1. conforming to a standard; usual‚ typical‚ or expected. 2. noun 1. the usual‚ average‚ or typical state or condition. 2. adjective 1. conforming to the standard or the common type; usual; not abnormal;regular; natural. 2. serving to establish a standard. 3. Psychology. a. approximately average in any psychological trait‚ as intelligence‚personality‚ or emotional adjustment. b. free from any mental disorder; sane. What Do We Mean by ’Normal’? It is time to rethink
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efficiency of zakat management: Distribution in Malaysia Haron bin Rashid International Islamic University Malaysia 1 Abstract This paper about the study of IIUM Students’ perception towards the efficiency of zakat management: distribution in Malaysia. All subjects were selected from International Islamic University Malaysia (IIUM) and the data were collected using the sampling technique used for the selection of these students that were chosen randomly from each 3 different faculties of
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