A manufacturing firm claims that each water bottle they produce contains an average of 300 mL of water with a standard deviation of 1.2 mL. A random sample of 20 water bottles showed an average volume of 301.4 mL. if the t-value in the test is 3.14 and the critical values are ±2.861, what is the appropriate decision conclusion in the hypothesis testing?
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=300"
"H_1:\\mu\\not=300"
This corresponds to a two-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
The rejection region for this two-tailed test is "R = \\{t:|t|>2.861\\}."
The t-statistic is "t=3.14."
Since it is observed that "|t|=3.14>2.861=t_c," it is then concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu"
is different than 300.
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