1) what is hypothesis testing? (a) it’s testing a hypothesis by doing a literature review (b) it’s a way to intuitively consider predictions and think about which might be true (c) it evaluates two mutually exclusive statements about a population to determine which statement is best supported by the sample data (d) hypothesis testing will only require statistics if the data are already significantly different (e) c, d (f) none of the above

(C) It evaluates two mutually exclusive statements about a population to determine which statement is best supported by the sample data.

Step-by-step explanation:

A hypothesis is a statement that has been formulated based on previous knowledge. The process of testing if that statement is true is called hypothesis testing. To test a formulated hypothesis ( alternative hypothesis), it must be statistically analyzed if the data collected from a population supports this alternative hypothesis, or if, on the contrary, a mutually exclusive statement (null hypothesis) is supported.