A 95% confidence interval for μA -μg is given by (-2.3, 4.5). What can we infer from this confidence interval? (A) This confidence interval implies that the mean for sample A is less than the mean for sample B. (B) This confidence interval implies that the mean for sample A is equal to the mean for sample B. (C) With 95% confidence, there is convincing statistical evidence that the mean for population A is less than the mean for population B. (D) With 95% confidence, there is convincing statistical evidence that the mean for population A is greater than the mean for population B. (E) There is not convincing statistical evidence that the mean for population A is different from the mean for population B at the 5% significance level.

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A 95% confidence interval for μA -μg is given by (-2.3, 4.5). What can we infer from this
confidence interval?
(A) This confidence interval implies that the mean for sample A is less than the mean for sample B.
(B) This confidence interval implies that the mean for sample A is equal to the mean for sample B.
(C) With 95% confidence, there is convincing statistical evidence that the mean for population A is
less than the mean for population B.
(D) With 95% confidence, there is convincing statistical evidence that the mean for population A is
greater than the mean for population B.
(E) There is not convincing statistical evidence that the mean for population A is different from the
mean for population B at the 5% significance level.
Transcribed Image Text:A 95% confidence interval for μA -μg is given by (-2.3, 4.5). What can we infer from this confidence interval? (A) This confidence interval implies that the mean for sample A is less than the mean for sample B. (B) This confidence interval implies that the mean for sample A is equal to the mean for sample B. (C) With 95% confidence, there is convincing statistical evidence that the mean for population A is less than the mean for population B. (D) With 95% confidence, there is convincing statistical evidence that the mean for population A is greater than the mean for population B. (E) There is not convincing statistical evidence that the mean for population A is different from the mean for population B at the 5% significance level.
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