Week 3 Lab.docx - WEEK 3 LAB 1 Week 3 Lab Brian Light...

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WEEK 3 LAB1 Week 3 Lab Brian Light SCIE211-U1WW Patton
WEEK 3 LAB2 Week 3 Lab Statistical sampling and its difficulties Statistical sampling is when one makes a conclusion based on a population and the sample amassed from this group. This group is best when it is sizable enough when associated with the population being depicted. The samples collected need to be random, and this is one of the first difficulties. To get truly 100% random samples can be particularly problematic. Another issue that arises can be the different biases can come into play when discussing random sampling. For example, if the poll describes something about an entire city whose population is 315,000, it would not be wise to only poll 25 people, because the sample would not accurately represent the population. This could be expanded upon as well. For instance, if the results of the poll are to depict an opinion of an entire country, it would be inaccurate to survey only one city, even if it was possible to ask every single citizen. It is better to have diversity in your sample.

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