In: Statistics and Probability
Over a period of 12 months, the new water purifier is tested to see if the quality if improved by testing the quality of water. The purity is measured on scale of 0-5 and the results are measured, and the matched differences are computed. The sample mean(difference) is 0.52 with a sample standard deviation of 0.34. Test the claim that the new purifier is no different to the old one at 10% level of significance.
a.Details given in problem
b.Assumptions if any
c.Null Hypothesis, Alt Hypothesis, and the tailed test
d.Critical Statistic
e.Compute test statistic
f.Compute p-value
g.At ___% level of significance, we have ______ evidence to reject Null Hypothesis
h.Since p-value ____ α at ___% level of significance, we have ______evidence to reject the Null Hypothesis
a. We are given the sample mean(difference) and standard deviation.
Here, we will be using Paired T -test to test the hypothesis.
b. The paired sample t-test has four main assumptions:
c. Null Hypothesis : The new purifier is no different to the old one.
Alternaive Hypothesis : The new purifier is different to the old one.
This is a One-tailed test , since we want to test whether the purity has increased or not.
d. Critical statistic = tn-1,
We have , n = 12 and = 0.10 ( level of significance)
t12-1,0.10 = t11,0.10 = 1.363
e. Test statistic = Mean difference / ( Standard deviation / n0.5 ) = 0.52 / ( 0.34 / 120.5) = 5.298
f. P-value = P(t > 5.298) = 0.000127
g. At 10% level of significance, we have sufficient evidence to reject Null Hypothesis.
h. Since p-value is less than at 10% level of significance, we have sufficient evidence to reject the Null Hypothesis.