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Simple Random Sample

Stratified Random Sampling

Cluster Sampling

Systematic Sampling

Convenience Sampling

Q: Mention different types of sampling in statistics.?

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Identify the different types of statistics graphs and illustrations that are appropriate for your topic?

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Sampling techniques in researching involves to types of sampling. The probability sampling and the non-probability sampling. Simple random is an example of probability sampling.

stratified sampling, in which the population is divided into classes, and random samples are taken from each class;cluster sampling, in which a unit of the sample is a group such as a household; andsystematic sampling, which refers to samples chosen by any system other than random selection.

On this website, http://www.ams-samplers.com/category.cfm?CNum=1, there are several different types of soil sampling equipment and they all range in price. They have sampling kits, and equipment for the more advanced farmers.

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Some of the methods are:simple random surveystratified surveyconvenience surveysystematic surveyquota samplingcluster sampling

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Sampling has multiple meanings depending on the domain of work:Statistics - Sampling is selecting a subset of population from within the population to estimate the characteristics of the whole population.There are two different types of Sampling Procedure;1. Probability2. Non ProbabilityProbability sampling methods ensures that there is an equal possibility for each individual in a population to get selected.Non Probability method targets specific individuals.

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there are three types ,they are photoconductive cell ,photoemissive cell and photovoltiac cell

The related web sites give a good idea of the types of non-random sampling. These include snowball, convenience, quota, self-selection, diversity, expert, and others. Non-randon sampling is usually done because it is less expensive, easier, and quicker than random sampling.