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.

c.) polymerase chain reaction

- "unlike the original dna fingerprinting method, dna profiling does not use restriction enzymes to cut the dna. instead it uses the polymerase chain reaction (pcr)? to produce many copies of specific str sequences. pcr is an automated procedure that generates lots of copies of a specific sequence of dna."

c

explanation: