Question

A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each algorithm is applied to a group of 44 sample problems. The new algorithm completes the sample problems with a mean time of 14.97 hours. The current algorithm completes the sample problems with a mean time of 17.81 hours. The standard deviation is found to be 4.448 hours for the new algorithm, and 3.520 hours for the current algorithm. Conduct a hypothesis test at the 0.05 level of significance of the claim that the new algorithm has a lower mean completion time than the current algorithm. Let μ1 be the true mean completion time for the new algorithm and μ2 be the true mean completion time for the current algorithm.Step 1 of 4: State the null and alternative hypotheses for the test. Step 2 of 4: Compute the value of the test statistic. Round your answer to two decimal places. Step 3 of 4: Determine the decision rule for rejecting the null hypothesis H0. Round the numerical portion of your answer to three decimal places. Step 4 of 4: Make the decision for the hypothesis test. A. Reject null hypothesis B. Fail to reject null hypothesis

Answer #1

A systems analyst tests a new algorithm designed to work faster
than the currently-used algorithm. Each algorithm is applied to a
group of 49 sample problems. The new algorithm completes the sample
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standard deviation is found to be 5.896 hours for the new
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A systems analyst tests a new algorithm designed to work faster
than the currently-used algorithm.
Each algorithm is applied to a group of
49 sample problems. The new algorithm completes the sample
problems with a mean time of
18.71 hoursThe current algorithm completes the sample problems
with a mean time of
20.83 hours. The standard deviation is found to be 5.184 hours
for the new algorithm and
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test at the...

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Assume the population standard deviation for the new algorithm is
3.259 hours, while the current algorithm has a population standard
deviation of 3.804 hours. Conduct a...

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