The Poisson distribution is a discrete distribution. It is often used as a model for the number of events (such as the number of telephone calls at a business‚ number of customers in waiting lines‚ number of defects in a given surface area‚ airplane arrivals‚ or the number of accidents at an intersection) in a specific time period. It is also useful in ecological studies‚ e.g.‚ to model the number of prairie dogs found in a square mile of prairie. The major difference between Poisson and Binomial
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Reese’s Distribution channels Introduction Any product or service in the marketplace utilizes distribution channels to reach its customers. Although the manufacturers and services providers can and do provide their goods and services directly‚ utilizing distribution channels multiplies the number of goods and services that reach the marketplace (Advameg‚ Inc‚ 2011). Therefore‚ distribution channels can increase market share and profit margins since these distribution channels help the company’s
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Physical distribution is a term used to describe the methods and means by which a product or a group of products are physically transferred‚ or distributed‚ from their point of production to the point at which they are made available to the final customer.(Rushton at el 2010) In other words is the set of activities concerned with efficient movement of finished goods from the end of the production operation to the consumer. Physical distribution takes place within numerous wholesaling and retailing
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that of the parent company. On the BMW Group website it is noted as follows:"Identifying potential and encouraging growth. Knowing what we represent. Recognizing where our strengths lie and making the best use of every opportunity. Following a clear strategy. Goals we have attained are in essence the point of departure for new challenges. This is the philosophy that inspires every individual at the BMW Group. It influences the company’s structure and it plays a vital role in the decision-making process
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Normal Distribution Normal distribution is a statistics‚ which have been widely applied of all mathematical concepts‚ among large number of statisticians. Abraham de Moivre‚ an 18th century statistician and consultant to gamblers‚ noticed that as the number of events (N) increased‚ the distribution approached‚ forming a very smooth curve. He insisted that a new discovery of a mathematical expression for this curve could lead to an easier way to find solutions to
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DISTRIBUTION AUTOMATION Abstract— This White Paper on‚ “Power systems” addresses the working process‚ benefits and challenges of implementing Distribution Automation in electrical power distribution sector. The demand for electrical energy is increasing every day. Today over 24% of total electrical energy generated in India is lost in transmission (6%) and distribution (18%). The electrical power deficit in country is currently about 18%. Therefore reduction in distribution
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Distribution Channel The marketing mix is composed of all the elements of a successful marketing process including price‚ packaging‚ product and place. And while everything is important‚ it is the distribution channel that finally makes the product available to the customer and hence makes an integral part of the marketing mix. The distribution channel refers to the ways the product reaches the shelves. And this may include retailers and wholesalers and sometimes the manufacturers themselves (Lamb
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expected average outcome over many observations.The common symbol for the mean (also known as the expected value of X) is ‚ formally defined by Variance - The variance of a discrete random variable X measures the spread‚ or variability‚ of the distribution‚ and is defined by The standard deviation is the square root of the variance. Expectation - The expected value (or mean) of X‚ where X is a discrete random variable‚ is a weighted average of the possible values that X can take‚ each value
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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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available at right place‚ at right time right price and in right quantity. The process of making goods available to the consumer needs effective channel of distribution. Therefore‚ the path taken by the goods in its movement is termed as channel of distribution. The goods may be sent to the consumer directly or indirectly through middlemen. The channel of distribution may be classified as: Selling through direct channels This is the oldest‚ shorter and the simple channel of distribution. The producer
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