Question

A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...

A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each algorithm is applied to a group of 70 sample problems. The new algorithm completes the sample problems with a mean time of 18.56 hours. The current algorithm completes the sample problems with a mean time of 20.22 hours. Assume the population standard deviation for the new algorithm is 5.291 hours, while the current algorithm has a population standard deviation of 3.428 hours. Conduct a hypothesis test at the 0.1 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 H0H0. Round the numerical portion of your answer to two decimal places.

Step 4 of 4: Make the decision for the hypothesis test.

Reject Null Hypothesis or Fail to Reject Null Hypothesis

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...
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 19.11 hours. The current algorithm completes the sample problems with a mean time of 21.00 hours. The standard deviation is found to be 5.896 hours for the new algorithm, and 3.674 hours for the current algorithm. Conduct a hypothesis test at the...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...
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...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each algorithm is applied to a group of 76 sample problems. The new algorithm completes the sample problems with a mean time of 21.91 hours. The current algorithm completes the sample problems with a mean time of 23.08 hours. Assume the population standard deviation for the new algorithm is 5.316 hours, while the current algorithm has a population standard deviation of 4.853 hours. Conduct a...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each algorithm is applied to a group of 51 sample problems. The new algorithm completes the sample problems with a mean time of 24.83 hours. The current algorithm completes the sample problems with a mean time of 27.75 hours. The standard deviation is found to be 4.193 hours for the new algorithm, and 4.285 hours for the current algorithm. Conduct a hypothesis test at the...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each algorithm is applied to a group of 66 sample problems. The new algorithm completes the sample problems with a mean time of 10.24 hours. The current algorithm completes the sample problems with a mean time of 11.92 hours. The standard deviation is found to be 5.123 hours for the new algorithm, and 4.214 hours for the current algorithm. Conduct a hypothesis test at the...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each algorithm is applied to a group of 89 sample problems. The new algorithm completes the sample problems with a mean time of 17.64 hours. The current algorithm completes the sample problems with a mean time of 17.75 hours. The standard deviation is found to be 4.5614.561 hours for the new algorithm, and 4.210 hours for the current algorithm. Conduct a hypothesis test at the...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each algorithm is applied to a group of 36 sample problems. The new algorithm completes the sample problems with a mean time of 22.83 hours. The current algorithm completes the sample problems with a mean time of 23.06 hours. The standard deviation is found to be 3.511 hours for the new algorithm, and 3.471 hours for the current algorithm. Conduct a hypothesis test at the...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each algorithm is applied to a group of 60 sample problems. The new algorithm completes the sample problems with a mean time of 21.76 hours. The current algorithm completes the sample problems with a mean time of 24.01 hours. Assume the population standard deviation for the new algorithm is 4.860 hours, while the current algorithm has a population standard deviation of 3.500 hours. Conduct a...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...
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 5.810 hours for the current algorithm . Conduct a hypothesis test at the...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each...
A systems analyst tests a new algorithm designed to work faster than the currently-used algorithm. Each algorithm is applied to a group of 54 sample problems. The new algorithm completes the sample problems with a mean time of 19.20 hours. The current algorithm completes the sample problems with a mean time of 21.49 hours. 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...