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ü Evaluations , assessments involving sampling must not be considered as final since it may be faulty or may contain error

Q: Explain appraisals in sampling are estimates and predictions only?

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simple random, stratified sampling, cluster sampling

In practice, systematic sampling is used on account of its simplicity and convenience. It's easy to explain to the people doing the actual work. It can be justified theoretically wherever the population from which units are to be sampled systematically are randomly distributed. It can be used for sampling households, sampling callers on a telephone line, sampling plants along a transect in (say) a field, sampling people passing through customs, and so on.

sampling techniques? okey, here's what to do... step 1go to google then type whatver you want to rsearch on. step2 read what has come up on wiki answers then i dont know

The term "Logistic regression" is referring to the graph of analysis in predictions. There are variables involved and explain probabilities that are a hypothesis of the dependent variable, which is the one being applied to a future prediction.

Conduct your sampling at a baseball game, a baseball museum or at a meeting of Little League coaches.

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simple random, stratified sampling, cluster sampling

A sampling method in which all members of a group have an equal and independent chance of being selected.

Sampling techniques are used to make population estimates because it is often impractical or impossible to count every individual in a population. By selecting a representative sample, statisticians can make accurate estimates of the entire population. This helps in reducing time, cost, and resources required for conducting a census of the entire population.

1-What are the advantages of sampling analog signals?2-what are the following terms mean : instantaneous Sampling , Natural Sampling , and Flat-top Sampling ?3- what are the advantages of digital communication over analog communication ?4-Explain the reason for making the sampling frequency greater than or equal to (2B)Hz , where B is the bandwidth of the analog signal

In practice, systematic sampling is used on account of its simplicity and convenience. It's easy to explain to the people doing the actual work. It can be justified theoretically wherever the population from which units are to be sampled systematically are randomly distributed. It can be used for sampling households, sampling callers on a telephone line, sampling plants along a transect in (say) a field, sampling people passing through customs, and so on.

sampling techniques? okey, here's what to do... step 1go to google then type whatver you want to rsearch on. step2 read what has come up on wiki answers then i dont know

they are only based on estimates, so they are really unpredictable, especially if the business is new and has no past data to base the estimates on.

The term "sampling frame" may have no meaning at all in "random" sampling, since the "frame" by nature sets the parameters of the sampling, thus rendering the sampling somewhat "non-random". Having said that, you might want to study the quality of corn in your area and, depending on which aspects or determining factors you are studying, you might set your sampling frame as "all the farmers in Waterloo region" or "all the farmers in a particular area growing Gold Harvest F1 Hybrid". These two examples will obviously give you different results as they are intended to study different aspects of corn.

a) T or F The sampling distribution will be normal. Explain your answer. b) Find the mean and standard deviation of the sampling distribution. c) We pick one of our samples from the sampling distribution what is the probability that this sample has a mean that is greater than 109 ? Is this a usual or unusual event? these are the rest of the question.

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The goal of science is to investigate and understand the natural world, to explain events in the natural world, and to use those explanations to make useful predictions