"When is sampling more appropriate than taking a census" Essays and Research Papers

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    Pilgrim Sampling

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    Application of sampling distribution Joe Greene‚ a new manager at Pilgrim Bank wants to better understand profitability data for bank’s customers. Joe is able to obtain a random sample of 31‚634 customers on the following variables – Profitability (in $‚ for the most recent completed year‚ i.e. 2006)‚ whether or not the customer uses the online banking channel‚ customer tenure‚ age and income where available‚ as well as the customer’s residential area. Descriptive statistics for Profits indicates

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    Sampling methods

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    Sampling methodologies Sampling It may be defined as a process of selecting units that may be people‚ organizations etc‚ from a larger whole i.e. from a population of interest‚ so that by studying the sample we may come up with general characteristics of the entire population under consideration. Types of sampling methods: Probability sampling Probability sampling is a type of sampling that includes random selection. And in order to achieve random selection‚ it must be

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    Snowball sampling

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    Explain a sampling method that could be used in this case study: First of all‚ there are a few options for sampling methods in this case study of how the relief workers at disaster sites experience and cope with issues that surface. Considering that at the disaster sites “the medical teams are always over-worked‚ equipment is always misplaced and it is hard to deliverer food and medicine as the infrastructure is often broken down because of earthquakes” (line 7). The subjects of the

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    Sampling Techniques

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    CHAPTER 7—SAMPLING AND SAMPLING DISTRIBUTIONS MULTIPLE CHOICE 1. From a group of 12 students‚ we want to select a random sample of 4 students to serve on a university committee. How many different random samples of 4 students can be selected? a.|48| b.|20‚736| c.|16| d.|495| ANS: D 2. Parameters are a.|numerical characteristics of a sample| b.|numerical characteristics of a population| c.|the averages taken from a sample| d.|numerical characteristics of either a sample or a population| ANS:

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    Probability Sampling

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    Concept and basics of probability sampling methods One of the most important issues in researches is selecting an appropriate sample. Among sampling methods‚ probability sample are of much importance since most statistical tests fit on to this type of sampling method. Representativeness and generalize-ability will be achieved well with probable samples from a population‚ although the matter of low feasibility of a probable sampling method or high cost‚ don’t allow us to use it and shift us to the

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    2010 Census Profile

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    2010 Census Profile 204 York Rd‚ Towson‚ Maryland‚ 21204 2 204 York Rd‚ Towson‚ Maryland‚ 21204 Drive Time: 1 minute radius Latitude: 39.39772 Longitude: -76.60286 2000-2010 2010 891 397 425 Annual Rate 0.20% 0.18% 0.19% Number 891 876 732 86 2 50 1 5 15 Percent 100.0% 98.3% 82.2% 9.7% 0.2% 5.6% 0.1% 0.6% 1.7% 33 3.7% Population by Sex Male Female 417 474 46.8% 53.2% Population by Age Total Age 0 - 4 Age 5 - 9 Age 10 - 14 Age 15 - 19 Age 20 - 24 Age 25 - 29 Age 30 - 34 Age 35 - 39 Age 40

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    Sampling Techniques

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    Random sampling is the purest form of probability sampling. Each member of the population has an equal and known chance of being selected. When there are very large populations‚ it is often difficult or impossible to identify every member of the population‚ so the pool of available subjects becomes biased. Systematic sampling is often used instead of random sampling. It is also called an Nth name selection technique. After the required sample size has been calculated‚ every Nth record is selected

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    sampling reading

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    populations Because it is impossible to count all the members of a large community‚ some form of sampling has to be used. The size of the sample depends on the area to be investigated‚ but can be shown on a graph as shown (right): Beyond this point‚ more samples (= more work) does not increase the reliability of the results. Ideal sample size AQA are very keen that you should know the importance of random sampling. This is essential to avoid bias. In fieldwork‚ this is done by: 1. Lay out two tapes at

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    E Census Acknowledgement

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    e-Census Acknowledgement Your online application has been submitted. Your Batch Request Number is 0522-6001-0900-0100. Please read the Payment and Delivery instructions. Print tw o (2) copies of this page Print Contact and Delivery Information Requester’s Nam e: GARCIA‚ NORIELLE LIZA B. Delivery Address: DOOR 2 #6 CAINA ST. VILLA ARCA SUBD.‚ PROJECT 8 (NEAR AMA UNIVERSITY) QUEZON CITY‚ METRO MANILA PHILIPPINES 1106 Request Date: 04/23/2014 Batch Request Num ber: 0522-6001-0900-0100 Total

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    Diversity is more than race or gender! Diversity is defined as the state or fact of being diverse. There are different types of diversity such as: capabilities and disabilities‚ age‚ gender‚ race‚ ethnicity‚ religion‚ socio-economic backgrounds and sexual orientation. The acceptance of these diverse affiliations in a society ensures harmonious existence and peaceful relations. Many people often think of diversity as simply demographic‚ a matter of color‚ gender‚ or age. However‚ groups can be disparate

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