The quality of the drinking water must be monitored as often as possible. One variable of concern is
the pH level, which measures the alkalinity or acidity of the water. A pH below 7.0 is acidic while a pH
above 7.0 is alkaline. A pH of 7.0 is neutral. A water-treatment plant is targeting higher than 8.0 pH. Based
on 16 random water samples, the mean and standard deviation were found to be: 𝑋 ̅=7.6 and s = 0.4. Test
the claim using 5%
Step
1 Describe the population parameter of interest
2 Formulate the null and alternative hypothesis
3 Check the assumptions
4 Choose a signifinance level size for α
5 Select the appropriate test statistic
Compute the test statistic using the appropriate formula
6 State the decision rule for rejecting or not the null hypothesis
7 Compare the computed test statistic and the critical value /s
1. The pH level is the population parameter of interest
2.The following null and alternative hypotheses need to be tested:
"H_0:\\mu\\le 8"
"H_1:\\mu>8"
3.This corresponds to a right-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
4. Let the significance level be "\\alpha = 0.05," "df=n-1=15" and the critical value for a right-tailed test is "t_c = 1.75305."
The rejection region for this right-tailed test is "R = \\{t:t> 1.75305\\}."
5. The t-statistic is computed as follows:
Since it is observed that "t=-4< 1.75305=t_c," it is then concluded that the null hypothesis is not rejected.
Using the P-value approach:
The p-value for right-tailed, "df=15" degrees of freedom, "t=-4" is "p=0.99942," and since "p=0.99942>0.05=\\alpha," it is concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population mean "\\mu"
is greater than 8, at the "\\alpha = 0.05" significance level.
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