An electrical firm manufactures light bulbs that have a length life of that is approximately normally distributed with a mean of 800 hours and a standard deviation of 40 hours. Test the hypothesis that 𝜇 = 800 ℎ𝑜𝑢𝑟𝑠 against the alternative μ ≠ 800 hours if random sample of 30 bulbs has an average life of 788 hours. Use a 0.01
"H_0: \\mu = 800 \\\\\n\nH_1: \\mu \u2260 800 \\\\\n\nn = 30 \\\\\n\n\\sigma = 40 \\\\\n\n\\bar{x} = 788 \\\\\n\n\u03b1 = 0.01"
Test-statistic
"Z = \\frac{\\bar{x} - \\mu}{\\sigma \/ \\sqrt{n}} \\\\\n\nZ = \\frac{788 -800}{40 \/ \\sqrt{30}} = -1.643"
Two-tailed test.
Reject H0 is Z ≤ -2.575 or Z≥ 2.575.
Since Z = -1.643 exceeds -2.575, reject the null hypothesis at the 1 % significance level.
We can conclude that "\\mu \u2260 800" .
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