sampling frame‚ which may not be available or feasible to construct for large populations. Even if a complete frame is available‚ more efficient approaches may be possible if other useful information is available about the units in the population. Advantages are that it is free of classification error‚ and it requires minimum advance knowledge of the population. It best suits situations where the population is fairly homogeneous and not much information is available about the population. If these conditions
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Digital electronics‚ or digital (electronic) circuits‚ represent signals by discrete bands ofanalog levels‚ rather than by a continuous range. All levels within a band represent the same signal state. Relatively small changes to the analog signal levels due to manufacturing tolerance‚ signal attenuation or parasitic noise do not leave the discrete envelope‚ and as a result are ignored by signal state sensing circuitry. In most cases the number of these states is two‚ and they are represented by
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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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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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_____ 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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1.1 GENERAL INTRODUCTION Diabetes mellitus‚ often simply referred to as diabetes‚ is a group of metabolic diseases in which a person has high blood sugar‚ either because the body does not produce enough insulin‚ or because cells do not respond to the insulin that is produced. It is a serious‚ lifelong condition. The three main types of diabetes are: Type 1 diabetes results from the body’s failure to produce insulin‚ and presently requires the person to inject insulin. Type 2 diabetes
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NORMAL DISTRIBUTION 1. Find the distribution: a. b. c. d. e. f. following probabilities‚ the random variable Z has standard normal P (0< Z < 1.43) P (0.11 < Z < 1.98) P (-0.39 < Z < 1.22) P (Z < 0.92) P (Z > -1.78) P (Z < -2.08) 2. Determine the areas under the standard normal curve between –z and +z: ♦ z = 0.5 ♦ z = 2.0 Find the two values of z in standard normal distribution so that: P(-z < Z < +z) = 0.84 3. At a university‚ the average height of 500 students of a course is 1.70 m; the standard
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Distribution in the Wider Marketing Context Although the focus of this thesis is on distribution‚ it is important to see distribution as a critical aspect of an organisation’s wider marketing strategy. Hudson (2008: 8) cited Kotler’s (1984) definition of marketing which reflected the importance of distribution as a major aspect of the marketing process: The process of planning and executing the conception‚ pricing‚ promotion‚ and distribution of ideas‚ goods‚ and services to create exchange
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Statistics: • Science of gathering‚ analyzing‚ interpreting‚ and presenting data • Measurement taken on a sample • Type of distribution being used to analyze data Descriptive statistics: Using data gathered on a group to describe or reach conclusions about that same group only. Descriptive statistics are the tabular‚ graphical‚ and numerical methods used to summarize data. Collect‚ organize‚ summarize‚ display‚ analyze Eg: According to Consumer Reports‚ General Electric washing machine
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MODEL CONTRACTS FOR SMALL FIRMS LEGAL GUIDANCE FOR DOING INTERNATIONAL BUSINESS © International Trade Centre‚ August 2010 Model Contracts for Small Firms: International Distribution of Goods Contents Foreword Acknowledgements Introduction Chapter 1 International Contractual Alliance Introduction ITC Model Contract for an International Contractual Alliance Chapter 2 International Corporate Joint Venture Introduction ITC Model Contract for an International Corporate
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