The statistician employs the mathematical logic of falsification in order to justify statistically significant inferences. What happens in Hypothesis Testing, is that an initial null hypothesis is presumed true. When there is enough statistical evidence showing it cannot be true, then it is rejected in favor of the alternative hypothesis.
Imagine someone says all pigeons live in cities. One cannot prove the statement true by searching for all the pigeons in cities — but one can disprove it by finding evidence to the contrary (such as the existence of pigeons on farms). The Null hypothesis cannot be proven true, however it can be proven false in favor of the Alternative hypothesis through contradictory statistical evidence. A highly popular tool is the Student’s t-test, which can be used to ascertain differences between two populations. Hypothesis Testing and Inferential Statistics are an integral part of research in all fields ranging from the social sciences, sciences, economics & engineering and is a form of Applied Statistics. Wherever your studies take you, we have an expert to help you accomplish your goals. Trust the experts at Homework Help Canada and get a quote now.
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