Why do scientists often take more than one representative sample

A representative sample is a reflection of the characteristics of the certain group ( population) as a whole. Sample size is the number of representative samples (individual pieces of data) used to calculate a set of statistics. The greater this number the better the determination of the average values of their data. Having greater number of samples also avoids errors from testing a small number of possibly atypical samples.

Representative Samples are expected to reflect qualities or let's examine a bit of the key reasons why scientists use this every person from a people. The greater the precedent is, the more likely it will absolutely reflect what exists in the people. The individual coincidentally, used a system ordinary to mathematicians and analysts called Sampling. Specialists use reviewing to get a measure of things they can do with critical exertion count. Scientists screen the change (addition or decrease) of masses numbers to settle on decisions about issues that impact people.

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