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Explain appraisals in sampling are estimates and predictions only?
Wiki User
∙ 14y ago
ü Evaluations , assessments involving sampling must not be considered as final since it may be faulty or may contain error
Wiki User
∙ 14y ago
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Breifly explain three different examples of sampling?
simple random, stratified sampling, cluster sampling
What is systematic sampling use for?
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.
How do you explain sampling techniques in research with reference to quantitative techniques?
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
What is meant by the term logistic regression?
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.
Explain how a person taking a survey to find the percent of sport fans who chose baseball as their favorite sport might get a biased sample?
Conduct your sampling at a baseball game, a baseball museum or at a meeting of Little League coaches.
Breifly explain three different examples of sampling?
simple random, stratified sampling, cluster sampling
Explain the importance of random and stratified sampling?
A sampling method in which all members of a group have an equal and independent chance of being selected.
Explain the need to use sampling techniques to make population estimates when total counts cannot be made?
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.
What is the advantage of sampling analog signal?
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
What is systematic sampling use for?
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.
How do you explain sampling techniques in research with reference to quantitative techniques?
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
Explain why cash flow forecasts may be inaccurate?
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.
How do you explain the meaning and purpose of a sampling frame in random sampling?
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.
We have a population with mean of 100 and standard deviation of 28 take repeated samples of size 49 and calculate the mean of each sample to form a sampling distribution Is it a Normal Distribution?
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.
A student divides 289 by 60 and estimates that it will take about 4.5 hours explain whether you think the answer is reasonable?
5
Explain the uses of national income estimates?
jab tujhe nahi pata to mujhe kaise pata hoga youu kamine
What is the basic sciences goal?
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
