(a) Test whether there is difference in the variances of the project completion time using the currenttechnology and the new software at 0.05 level of significance.(b) The researcher in charge of the new software evaluation project hopes to show that the newsoftware package will provide a shorter mean project completion time. Test the researcher’s hope at1% significance level.(c) Construct 90% confidence interval for the difference of the completion time (in hours) for theinformation system design project using the current technology and the new software.(d) Run the appropriate test in (b) using Excel. Paste the output in your answer sheet. Write down thep-value for the test in (b) using Excel output. The following is the completion time (in hours) for the information system design project using thecurrent technology and the new software.Current TechnologyNew Software300274280220344308385336372198360300288315321258376318290310301332(a) Test whether there is difference in the variances of the project completion time using the currenttechnology and the new software at 0.05 level of significance.(b) The researcher in charge of the new software evaluation project hopes to show that the newsoftware package will provide a shorter mean project completion time. Test the researcher's hope at1% significance level.(c) Construct 90% confidence interval for the difference of the completion time (in hours) for theinformation system design project using the current technology and the new software.(d) Run the appropriate test in (b) using Excel. Paste the output in your answer sheet. Write down thep-value for the test in (b) using Excel output.

The objective of the question is to compare the variances and means of project completion times…

Answered: The following is the completion time…

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter1: Functions

Section1.2: The Least Square Line

Problem 8E

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Related questions

Question

(a) Test whether there is difference in the variances of the project completion time using the current
technology and the new software at 0.05 level of significance.

(b) The researcher in charge of the new software evaluation project hopes to show that the new
software package will provide a shorter mean project completion time. Test the researcher’s hope at
1% significance level.

(c) Construct 90% confidence interval for the difference of the completion time (in hours) for the
information system design project using the current technology and the new software.

(d) Run the appropriate test in (b) using Excel. Paste the output in your answer sheet. Write down the
p-value for the test in (b) using Excel output.

The following is the completion time (in hours) for the information system design project using the
current technology and the new software.
Current Technology
New Software
300
274
280
220
344
308
385
336
372
198
360
300
288
315
321
258
376
318
290
310
301
332
(a) Test whether there is difference in the variances of the project completion time using the current
technology and the new software at 0.05 level of significance.
(b) The researcher in charge of the new software evaluation project hopes to show that the new
software package will provide a shorter mean project completion time. Test the researcher's hope at
1% significance level.
(c) Construct 90% confidence interval for the difference of the completion time (in hours) for the
information system design project using the current technology and the new software.
(d) Run the appropriate test in (b) using Excel. Paste the output in your answer sheet. Write down the
p-value for the test in (b) using Excel output.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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