The mean lifetime of a sample of 100 light tubes produced by a company is found to be 1570 hours with standard deviation of 80 hours. Test the hypothesis that the mean lifetime of the tubes produced by the company is 1600 hrs.
n=100, "\\bar X=1570, \\sigma=80"
We test the hypotheses ;
"H_0:\\mu=1600"
"H_1:\\mu\u22601600"
Since the sample size is greater than 30 and the population standard deviation is known we use the z test.
"Z=\\frac{X-\\mu} {\\frac{\\sigma} {\\sqrt n}}"
="\\frac{1600-1570}{\\frac{80}{\\sqrt{100}}}"
=3.75
We take a level of significance of 1%.
The corresponding critical value is;
"Z_{\\alpha\/2}=2.5758"
If the test statistic is greater than the critical value, we reject the null hypothesis in favor of the alternative hypothesis.
|3.75|>2.5758
We reject the null hypothesis hypothesis in favor of the alternative hypothesis.
We are 99% confident that the population mean lifetime of bulbs is not equal to 1600 hours.
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