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TYPES OF SAMPLING:
Sampling plans can be grouped under two categories-probability sampling and non-probability sampling. Probability sampling uses a technique by which the researcher ensures the probability, that each element of p~pulation will be included in the sample. That is each element has an equal or known chance of being included. It utilizes some form of random selection because of which greater confidence can be placed in the representativeness of probability samples. Non-probability samples use non-random methods i.e. there is bias in the selection. There is no assurance that every element has a chance of being included or, in other words the researcher cannot estimate the probability that each element will be included in the sample. Refer to Figure 4.1 and note the purpose of probability and non-probability sampling. The population values such as mean of standard deviation is called a Parameter whereas the measured value of the sample is termed statistic. We infer the parameter from the statistic when we know that the sample is a true representative of population. Refer Block 4 for further details of parameter and statistic.
#questioWhom do you think Rajender will eat with? Why? 2. If you were one of the other foremen, what could you do to make Rajinder’s transition easier? END OFn..
Objectivity: Objectivity means freedom from bias. A test should yield a clear score value for each performance, the score being independent of the personal judgment of the
The composition of solid waste from a residential community is as follows: Component Percent by weight Combustibles ---
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what is line balancing. what happens if balance doesn''t exist
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