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# Forum Post #2 (Statistics)

Forum Post #2 (Statistics)

What is a hypothesis test?

Hypothesis tests in statistics evaluates two equally exclusive statements about a population to determine which statement is the best based on the data (Frost, 2015).

Why do we need to use them to make decisions about relating sample results to the population; why can’t we just make our decisions by the sample value?

The null hypothesis is the hypothesis of no difference and indicates that the mean of the population has the same value as the mean of the population that it is compared too. The alternate hypothesis indicates that the sample doesn’t represent the population that it was compared to because it is a characteristic of some other population (Tanner, 2013).

Frost, J. (2015, March). Understanding Hypothesis Tests: Why We Need to Use Hypothesis Tests in Statistics. Retrieved March 8, 2016, from The MiniTab Blog: http://blog.minitab.com/blog/adventures-in-statistics/understanding-hypothesis-tests%3A-why-we-need-to-use-hypothesis-tests-in-statistics

Tanner, D. E.–M. (2013). Statistics for managers.

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