Hi there!
H0 = 95% of orders filledHa = greater than 95% of orders filled
We'll use a z test for a proportion. The critical value for a one tailed alpha 0.025 test is z = 1.96. We'll reject the null hypothesis if our z test statistic is greater than that.
Find the test statistic z:
phat = 485/500 = 0.97
z = (phat-p)/sqrt(p*(1-p)/N)
z = (0.97-0.95)/sqrt(0.95*0.05/500)
z = 2.0519
This is greater than the z value from the table for a one tailed test, with alpha = 0.025 (z = 1.96), so we reject the null hypothesis. We can be reasonably sure that they are exceeding their goal.
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H0: mean = 250
Ha: mean > 250
We'll use the t values, since the sample is small:
df = N-1 = 25-1 = 24
The critical value is:
1.7109
Get t:
t = (x-mu)/(sd/sqrt(N))
t = (275.66-250)/(78.11/sqrt(25))
t = 1.64256
Our test value is less than the critical value, so we don't reject the null hypothesis. There is not enough evidence to say that the mean is more than 250.
Let me know if you have any questions. If not, thanks for pressing "Accept"Scott
MIT Graduate
College degree in math... proficient in all levels -- from algebra to calculus