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    Random Variable and Answer

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    Selected Answer: .5006 . Question 5 .5 out of 5 points An automotive center keeps tracks of customer complaints received each week. The probability distribution for complaints can be represented as a table or a graph‚ both shown below. The random variable xi represents the number of complaints‚ and p(xi) is the probability of receiving xi complaints. xi 0 1 2 3 4 5 6 p(xi) .15 .1 .28 .20 .10 .10 .07 What is the expected number of complaints received per week? Round

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    Simple Random Sampling

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    provide the required estimates with associated margins of uncertainity‚ arising from examining only a part and not the whole. Methods of Sample Selection Simple Random Sampling In this method each item of the data ( population) has the same probability of being selected in the sample. The selection is usually made with the help of random numbers. * Suppose there are N=850 students in a school from which a sample of n=10 students is to be taken. The students are numbered from 1 to 850. Since our

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    Random Essay: What Is It?

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    What are Random Essay Topics? The meaning of random essay topics is in the word itself. To be put into a crux‚ the word random means any. Here‚ it means the topics can be from any subject. There are no specifications that the topic should be from a particular subject or should be of a particular genre. The topic can be on anything and in any form. The writer is not given rules that need to be followed while writing. The writers are given full freedom; they can even adapt or use the essay topics

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    continuous random variable because the time is being measured. All possible results for the variable time (t) would be greater than > 0. b) The weight of a T-bone steak is a continuous random variable because the weight of the steak is measured. All the possible results for the weight of the T-bone steak would be positive numbers making the variable weight (w) > greater than 0. c) The number of free throw attempts before the first shot is made is a discrete random variable

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    Depending on how a sample is drawn‚ it may be a random sample or a nonrandom sample. A random sample is a sample drawn in such a way that each member of the population has some chance of being selected in the sample. In a nonrandom sample‚ some members of the population may not have any chance of being selected in the sample. Suppose we have a list of 100 students and we want to select 10 of them. If we write the names of all 100 students on pieces of paper‚ put them in a hat‚ mix them‚ and then

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    There are many ways to select a random sample. Four of them are discussed below: Simple Random Sampling: In this sampling technique‚ each sample of the same size has the same probability of being selected. Such a sample is called a simple random sample. One way to select a simple random sample is by a lottery or drawing. For example‚ if we need to select 5 students from a class of 50‚ we write each of the 50 names on a separate piece of paper. Then‚ we place all 50 names in a hat and mix them thoroughly

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    Random Sampling Method

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    a sample that is similar to the population on all characteristics. Two-stage random sampling A process in which clusters are first randomly selected and then individuals are selected from each cluster. Stratified random sampling The process of selecting a sample in such a way that identified subgroups in the population are represented in the sample in the same proportion as they exist in the population. Random sampling Methods designed to select a representative sample by using chance selection

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    the selection of an unbiased or random subset of individual observations within a population of individuals intended to yield some knowledge about the population of concern‚ especially for making predictions based on the statistical inference (Ader‚ Mellenberg & Hand: 2008). There are quite a number of sampling methods that can be employed in research and these include simple random sampling‚ systematic sampling‚ stratified sampling‚ cluster sampling‚ matched random sampling‚ quota sampling‚ convenience

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    Random Family - Analysis

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    Random  Family:  An  Analysis   Sex‚  drugs‚  family‚  children‚  money‚  and  prison  are  all  complicated  things  that  are   reserved  for  adults  to  worry  about  in  ordinary  circumstances.  In  the  book  Random  Family   by  Nicole  LeBlanc‚  teenagers  and  young  children  are  forced  to  learn  to  navigate  multiple   adult  worlds  and

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    Summary Of Random Family

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    Alika Vaiese Soc 105 M.Ross 5/6/10 Random Family It tells the story of three young people in the Bronx‚ starting with the mid-80s drug explosion to welfare reform in the late 90s. Jessica was the girlfriend of a notorious‚ 20 year old drug kingpin prior to his life sentence and her 10 year sentence for conspiracy. Jessica’s brother‚ Cesar‚ tightly-wound and loyal‚ was imprisoned as a teenager. Coco‚ generous and bubbly‚ started dating Cesar when she was 14. By the time she was 20‚ she

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