Question: A researcher tests the hypothesis that a need exists to improve quality at a manufacturing plant. He is comparing the plant to an industry standard

A researcher tests the hypothesis that a need exists to improve quality at a manufacturing plant. He is comparing the plant to an industry standard of 97. The mean quality at the plant he is studying is 93.24. He calculates a single-sample t test and the t is found to be -1.32 with a P value of .094. Testing at the P < .05 level of significance, what can he conclude? Group of answer choices There is no significant difference between the sample and the industry standard and therefore a need does not exist to improve quality. There is a significant difference between the sample and the industry standard and therefore a need exists to improve quality. The null hypothesis should be rejected. There is a significant difference. The null hypothesis should be rejected. There is not a significant difference

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