Answer:
d. She has provided some evidence for her hypothesis, but the probability that her evidence is consistent with reality depends on the nature of her sample and method
Explanation:
Hypothesis testing is a very important phase of statistical inference . It is a procedure which enables us to decide on the basis of information obtained from sample data whether to accept or reject a statement or an assumption about the value of a population parameter. Such a statement or assumption which may or may not be true is called a statistical hypothesis. We accept the hypothesis as being true when it is supported by sample data . We reject the hypothesis when the sample data fail to support it.