A telecommunications company claims that households receive an average of 45 telephone calls per month.To test the claim at a= 0.10,a researcher surveyed 35 households and found out that the average number of calls was 40.8.Is there enough evidence to say that the company's claim is incorrect if the population standard deviation is known to be 3.2 calls?
"\\mu = 45 \\\\\n\n\\sigma = 3.2 \\\\\n\nn = 35 \\\\\n\n\\bar{x} = 40.8 \\\\\n\n\u03b1 = 0.10 \\\\\n\nH_0 : \\mu = 45 \\\\\n\nH_1 : \\mu \u2260 45"
Test concerning averages
"z = \\frac{\\bar{x}- \\mu}{\\sigma \/ \\sqrt{n}} \\\\\n\nz = \\frac{40.8-45}{3.2\/ \\sqrt{35}} = -0.776"
Critical value at 0.10 significance level z = ±1.645
Critical regions: Two-tailed test. Reject H0 if z ≤ -1.645 or z≥1.645
Conclusion: Since z = -0.776 is greater than -1.645, the null hypothesis can not be rejected. There is enough evidence to say that the company's claim is correct.
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