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Based on the given information, a decision that fails to reject the null hypothesis would be interpreted as there is not sufficient evidence to reject the claim μ = 59.3.
The null hypothesis refers to a hypothesis which the researcher is attempting to disprove, reject or nullify. It is an essential component of any research design, and is always tested, even indirectly. An experiment conclusion always refers to the null, rejecting or accepting the null hypothesis. Failing to reject the null hypothesis indicates that the sample did not provide sufficient evidence to conclude that the effect exists. Based on the given scenario, a decision that fails to reject the null hypothesis would be interpreted as there is not sufficient evidence to reject the claim μ = 59.3.
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