In 2015, the average duration of long-distance telephone calls from a certain town was 9.4 minutes. A telephone company wants to perform a test to determine whether this average duration of long-distance calls has changed. Twenty calls, originating from the town, was randomly selected and the mean duration was 10.2 minutes with standard deviation 4.8 minutes. a) Using a 1% level of significance, Complete the following: i. Give the null and alternative hypothesis of this test. [2] ii. Determine the critical value(s) of this test. [2] iii. Compute the value of the test statistic. [2] iv. State the decision rule. [1] v. Give your decision based on the available sample evidence. [1] vi. Hence, state your conclusion. [2] b) Construct the 99% confidence interval for the population mean duration of the longdistance calls from the town. [4]
X- duration of telephon call now
H0: M(X)=9.4 - null hypothesis
H1:M(X)"\\ne9.4" - alrernative hypothesis
We are usint t-test
Critical value "t_0: P(|T|>t_0)=\\alpha \\backsim P(T>t_0)=\\frac{\\alpha}{2}"
where T- is t-statics
"t_0=qt(\\frac{0.01}{2},12-1)=qt(0.995,11)=3.106" -calculation in mathcad
"T=\\frac{\\overline x-9.4}{\\sigma(x) }=\\frac{10.2-9.4}{4.8}=\\frac{0.8}{4.8}=0.167"
Conclusion: T<"t_{0.995,11}" therefore null hypothesi M(X)=9.4 is true
Statement about shanging average duration of telephone calls has no 99% confidence.
Let us consider condition "|\\frac{\\overline x-X}{\\sigma(x) }|<t_{0.995,11}" of valiidity of H0
From it we have "X \\in (10.2-t_{0.995,11}\\cdot \\sigma(x),10.2+t_{0.995,11}\\cdot \\sigma(x))=\\\\(10.2-3.106\\cdot 4.8.10.2+3.106\\cdot 4.8)=(-4.407,25.109)=\\\\\n(0,25.109 \\space min)"
Answer 99% confidence interval for average duration of telephone call is (0.25.109).
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