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 11.01 hours. The current algorithm completes the sample problems with a mean time of 13.24 hours. The standard deviation is found to be 3.328 hours for the new algorithm, and 3.877 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 μ1μ1 be the true mean completion time for the new algorithm and μ2μ2 be the true mean completion time for the current algorithm. Step 1 of 4 : State the null and alternative hypotheses for the test.
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 11.01 hours. The current algorithm completes the sample problems with a mean time of 13.24 hours. The standard deviation is found to be 3.328 hours for the new algorithm, and 3.877 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 μ1μ1 be the true mean completion time for the new algorithm and μ2μ2 be the true mean completion time for the current algorithm.
State the null and alternative hypotheses for the test.
Trending now
This is a popular solution!
Step by step
Solved in 4 steps with 5 images