Mathematics, 05.05.2020 16:46 kienzie1
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each algorithm is applied to a group of 53 sample problems. The new algorithm completes the sample problems with a mean time of 19.15 hours. The current algorithm completes the sample problems with a mean time of 22.01 hours. The standard deviation is found to be 5.784 hours for the new algorithm, and 4.293 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.
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Mathematics, 22.06.2019 02:00
The null and alternate hypotheses are: h0: μ1 ≤ μ2 h1: μ1 > μ2 a random sample of 22 items from the first population showed a mean of 113 and a standard deviation of 12. a sample of 16 items for the second population showed a mean of 99 and a standard deviation of 6. use the 0.01 significant level. find the degrees of freedom for unequal variance test. (round down your answer to the nearest whole number.) state the decision rule for 0.010 significance level. (round your answer to 3 decimal places.) compute the value of the test statistic. (round your answer to 3 decimal places.) what is your decision regarding the null hypothesis? use the 0.01 significance level.
Answers: 1
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. E...
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