Assume we have an i.i.d. sample from a normal distribution with standard deviation 9. There are n = 25 observations in total and the sum of the observations is 1807.5. We wish to test H0: µ = 75 vs. HA: µ ≠ 75 at significance level α0 = 0.01. i) What is the criterion you would use to reject the null hypothesis, H0, in favor of the alternative hypothesis, HA? Write this out explicitly. – 4 pts ii) Using the criterion in part (i), what conclusion would one draw based on the above information; accept the null hypothesis or reject it? – 2 pts iii) what kind of error could have been made?
you need to calculate \(Z\) and \(Z_{\alpha/2}\) reject \(H_0\) when \(|Z|>Z_{\alpha/2}\)
how would you do that
standardize your z first:by subtracting the sample mean by the pop mean then divide by std dev. Now compare your calculated z with the the corresponding Z(significance level)using your chart (if your using excel, then use Inverse student-t). if it is more than the positive Z(alpha) or less than the negative, your looking at rejecting H(Knot). ^^its not very technical but I hope it helps
I assume that the 9 is the population standard deviation. If that is the case we do not need the t-distribution.
sample size is less than 30 no ?
he is sampling from a normal distribution...so that doesn't matter
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