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.

allowed for the prediction of the properties of missing elements.

weathering - colorado river carves land in arizona to form the grand canyon. cracks form in a sandstone wall surrounding a house. a marble statue near the science museum is changing color due to rainfall

erosion - after a rainstorm, soil and rock piees litter the roadways. the sand dunes in the sahara desert are changing shape.

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