By considering the laws of probability, a researchers can influence the margin of error by altering the size of samples.
In statistics, a margin of error refers to a statistic tool expressing the amount of random sampling error in the results of a survey. The larger the margin of error, then, the lesser confidence one should have that a poll result would reflect the result of a census of the entire population. The margin of error will be known as positive whenever a population is incompletely sampled and the outcome measure has positive variance, which is to say, the measure varies.
In conclusion, the term "margin of error" is mostly used in non-survey contexts to indicate an observational error in reporting measured quantities.
Read more about margin of error
brainly.com/question/10218601
#SPJ1
