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.
