Dr. Jiminez conducts tests the hypothesis that people will eat more chips in a room with red walls than in a room with blue walls. Her results support her hypothesis; participants in the red room ate, on average, 1.3 times more chips than those in the blue room. Which of the following statements is most accurate regarding her findings?

a. She has proven that red walls increase chip consumption

b. She has proven her hypothesis, but only if she replicates these results in an additional study

c. She can say that she has proven her hypothesis, but only if she can prove that her sample was randomly assigned

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

Question

Huey

Social Studies

29 November, 20:22

Dr. Jiminez conducts tests the hypothesis that people will eat more chips in a room with red walls than in a room with blue walls. Her results support her hypothesis; participants in the red room ate, on average, 1.3 times more chips than those in the blue room. Which of the following statements is most accurate regarding her findings?

a. She has proven that red walls increase chip consumption

b. She has proven her hypothesis, but only if she replicates these results in an additional study

c. She can say that she has proven her hypothesis, but only if she can prove that her sample was randomly assigned

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

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Answers (1)

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Asher Morris · Answer 1

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.