A proposed null hypothesis states that there is no difference between the mean weights of the population of two neighboring districts. The sample mean difference is 12 kilograms, and the standard deviation of the distribution of the difference between sample means is 9 kilograms. Which statement is true? A.The null hypothesis must be accepted if we choose the 68% confidence level. B.The null hypothesis must be accepted if we choose the 95% confidence level. C.The null hypothesis must be rejected if we choose the 99.7 % confidence level. D.The null hypothesis must be rejected if we choose
@amistre64
what is 12/9 ?
A.The null hypothesis must be accepted if we choose the 68% confidence level. B.The null hypothesis must be accepted if we choose the 95% confidence level C.The null hypothesis must be rejected if we choose the 99.7 % confidence level D.The null hypothesis must be rejected if we choose the 100% confidence level. E.The null hypothesis must be rejected if we choose the 95% confidence level.
1.333
according to the empirical rule 1.33 is inside of 95%, and 99% 1.33 is outside of 68% if we are inside, we "accept" the null (reject the alternative) if we are outside, we "accept" the alternative (reject the null)
so its B?
correct
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