Question

From the data shown below, calculate the earned value of each control account as of 5/30/19....

From the data shown below, calculate the earned value of each control account as of 5/30/19. Assume all control account work is on schedule except as noted below.

Control Account

Scheduled Start

Scheduled Completion

Budgeted Value

EV Progress Rule

1

3/3/2019

6/30/2019

10,000

Percent Complete with Gates (Note 1)

2

5/5/2019

6/6/2019

3,000

Fixed Formula: 50/50

3

5/26/2019

6/6/2019

1,000

Fixed Formula: 0/100

4

5/12/2019

5/30/2019

2,000

Fixed Formula: 30/70

5

4/14/2019

7/11/2019

15,000

Weighted Milestones (Note 2)

Note (1): Five equally-valued gates have been established in this control account. Two of the five gates are complete as of 5/30/19. The Control Account Manager estimates that half of the work required for the third gate has also been completed.

Note 2: Six milestones have been established in this control account with the following values: (1) milestone 1 – 20%; milestone 2- 15%; milestone 3 – 10%; milestone 4 – 25%; milestone 5 - 15%; milestone 6 – 15%. Three of the milestones are complete as of 5/30/19.

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
For each of the data sets shown below, calculate r. (a)               (b)             (c) x    y   
For each of the data sets shown below, calculate r. (a)               (b)             (c) x    y             x y         x    y 1    6            1    2        1     7 2    7            2    1        2     6 3    5            3    4       3     5 4 4            4    3       4     4 5    3            5     7       5     3 6    1            6     5       6     2 7    2            7     6       7     1
calculate the upper and lower control limits and then construct a control chart. Display your chart....
calculate the upper and lower control limits and then construct a control chart. Display your chart. Question: Using the control chart rules for detecting special causes, can you detect a special cause? Explain why or why not. Week Average Delay Time (in days) 1 34 2 30 3 35 4 32 5 28 6 26 7 29 8 28 9 35 10 26 11 34 12 31 13 28 14 40 15 26 16 32 17 31 18 30 19...
Use the data below for Questions 2.5-2. B. Transmission: 1 = automatic, and 2 = standard....
Use the data below for Questions 2.5-2. B. Transmission: 1 = automatic, and 2 = standard. Color: 1 = blue, 2 = tan, 3 = white, 4 = red, 5 = black, and 6 = green. Subject Car Color Miles Driven -Typical Week Transmission 1 1 51 1 2 1 10 2 3 2 10 2 4 3 24 2 5 4 78 1 6 5 68 2 7 3 50 1 8 2 15 1 9 3 3 1...
Consider the data: 30 19 27 1 43 5 35 16 24 41 29 35 11...
Consider the data: 30 19 27 1 43 5 35 16 24 41 29 35 11 50 13 19 5 15 4 43 Using the given data find the following. first quartile (Q1)   second quartile (Q2) third quartile (Q3) IQR mean    min max If there are 5 classes, the class width should be . Important notes ***Lower bound should be closed and upper bound should be open. According to this information please fill in the blanks in the frequency distribution...
1.) Based on the data shown below, calculate the regression line (each value to two decimal...
1.) Based on the data shown below, calculate the regression line (each value to two decimal places) ˆyy^ =  +  xx x y 2 7.2 3 5.85 4 9.5 5 7.35 6 7.9 7 8.85 8 8.2 2.) Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator!...
Do the following problems: The following are quality control data for a manufacturing process at Kensprt...
Do the following problems: The following are quality control data for a manufacturing process at Kensprt Chemical Company. The data show the temperature in degrees centigrade at five points in time during the manufacturing cycle. The company is interested in using quality control charts in monitoring the temperature of its manufacturing cycle. Construct an X bar and R chart and indicate what its tells you about the process. Sample X bar R 1 95.72 1.0 2 95.24 .9 3 95.38...
problem set 2 questions: 1)Calculate the mean of the estimates at each 'effort' using data from...
problem set 2 questions: 1)Calculate the mean of the estimates at each 'effort' using data from the entire class. 2)Calculate the standard error of the mean and 95% CI at each ‘effort” using data from the entire class. 3)What happens to each of the parameters when sampling effort is first doubled (two scoops) and then increased again by 50% (three scoops)? 4)Assuming cost is an issue, which of the three sample sizes would be the best? (In the sampling of...
Apr. 18. Received a $50,400, 30-day, 6% note dated April 18 from Glenn Cross on account....
Apr. 18. Received a $50,400, 30-day, 6% note dated April 18 from Glenn Cross on account. 30. Received a $46,200, 60-day, 5% note dated April 30 from Rhoni Melville on account. May 18. The note dated April 18 from Glenn Cross is dishonored, and the customer’s account is charged for the note, including interest. June 29. The note dated April 30 from Rhoni Melville is dishonored, and the customer’s account is charged for the note, including interest. Aug. 16. Cash...
The cash account of Pronghorn Corp. shows a ledger balance of $3,974.85 on June 30, 2017....
The cash account of Pronghorn Corp. shows a ledger balance of $3,974.85 on June 30, 2017. The bank statement as at that date indicates a balance of $4,150. When the statement was compared with the cash records, the following facts were determined: 1. There were bank service charges for June of $25. 2. A bank memo stated that Bao Dai’s note for $890 and interest of $32 had been collected on June 29, and the bank had made a charge...
Based on the data shown below, calculate the regression line (each value to two decimal places)...
Based on the data shown below, calculate the regression line (each value to two decimal places) y = _x + _ x y 1 25.95 2 25.8 3 22.65 4 21.5 5 18.85 6 16.6 7 13.45 8 10.9 9 8.85 10 7.8