Construction Documents Review

26. Define Attention to Details and Negligence in construction projects

27. Explain Bidding Process / Bid Day

28. What is a Construction contract administration / Error and Omission insurance

29.What is a Project file / Project Evaluation / BIM

30. Explain Communication in Construction projects (relationship of GC, owner, etc.)

Chapter 12 Questions (pg. 100)

12.1 What are of the reasons that a contractor would be disqualified from a bid for not being a responsible bidder

12.4 What is promissory estoppel How does it affect construction contracting practices

12.5 When and how does the us uniform commercial code apply to construction

12.12 Explain the difference between unit price and lump sum contracts.

Chapter 13 Questions (pg. 116)

13.4 Which of the standard contracts would be used most frequently during construction projects and why

13.6 Why are state and federal government agencies required to competitively bid all construction contracts

13.7 What are the mail components of construction contracts

Chapter 14 Question (pgs. 129)

14.3 Explain why construction needs to nominal, compensatory, and precatory damages.

14.12 How are owners allowed to make changes during construction What clause provides then with this ability

14.20 What are the ways in which a contract between during construction

Consider the following gas-phase reaction:

C₂H₂(g) + 4 Cl₂(g) 2 CCl₄(g) + H₂(g)

Using data from Appendix C of your textbook calculate the temperature, T_o, at which this reaction will be at equilibrium under standard conditions (G^o = 0) and choose whether >G^o will increase, decrease, or not change with increasing temperature from the pulldown menu.

T_o = K, and G^o will

---Select---

increase

decrease

not change with increasing temperature.

For each of the temperatures listed below calculate G^o for the reaction above, and select from the pulldown menu whether the reaction under standard conditions will be spontaneous, nonspontaneous, or near equilibrium ("near equilibrium" means that T is within 5 K of T_o).

(a) At T = 1282 K G^o = kJ/mol, and the reaction is

---Select---

spontaneous

nonspontaneous

near equilibrium under standard conditions.

(b) At T = 1923 K G^o = kJ/mol, and the reaction is

---Select---

spontaneous

nonspontaneous

near equilibrium under standard conditions.

(c) At T = 641 K G^o = kJ/mol, and the reaction is

---Select---

spontaneous

nonspontaneous

near equilibrium under standard conditions.

Forecasting labour costs is a key aspect of hotel revenue management that enables hoteliers to appropriately allocate hotel resources and fix pricing strategies. Mary, the President of Hellenic Hoteliers Federation (HHF) is interested in investigating how labour costs (variable L_COST) relate to the number of rooms in a hotel (variable Total_Rooms). Suppose that HHF has hired you as a business analyst to develop a linear model to predict hotel labour costs based on the total number of rooms per hotel using the data provided.

3.1 Use the least squares method to estimate the regression coefficients b0 and b1

3.2 State the regression equation

3.3 Plot on the same graph, the scatter diagram and the regression line

3.4 Give the interpretation of the regression coefficients b0 and b1 as well as the result of the t-test on the individual variables (assume a significance level of 5%)

3.5 Determine the correlation coefficient of the two variables and provide an interpretation of its meaning in the context of this problem 3.6 Check statistically, at the 0.05 level of significance whether there is any evidence of a linear relationship between labour cost and total number of rooms per hotel

I need only the 3.4 and 3.5 questions.

Total_Rooms   L_COST
412   2.165.000
313   2.214.985
265   1.393.550
204   2.460.634
172   1.151.600
133   801.469
127   1.072.000
322   1.608.013
241   793.009
172   1.383.854
121   494.566
70   437.684
65   83.000
93   626.000
75   37.735
69   256.658
66   230.000
54   200.000
68   199.000
57   11.720
38   59.200
27   130.000
47   255.020
32   3.500
27   20.906
48   284.569
39   107.447
35   64.702
23   6.500
25   156.316
10   15.950
18   722.069
17   6.121
29   30.000
21   5.700
23   50.237
15   19.670
8   7.888
20  
11  
15   3.500
18   112.181
23  
10   30.000
26   3.575
306   2.074.000
240   1.312.601
330   434.237
139   495.000
353   1.511.457
324   1.800.000
276   2.050.000
221   623.117
200   796.026
117   360.000
170   538.848
122   568.536
57   300.000
62   249.205
98   150.000
75   220.000
62   50.302
50   517.729
27   51.000
44   75.704
33   271.724
25   118.049
42  
30   40.000
44  
10   10.000
18   10.000
18  
73   70.000
21   12.000
22   20.000
25   36.277
25   36.277
31   10.450
16   14.300
15   4.296
12  
11  
16   379.498
22   1.520
12   45.000
34   96.619
37   270.000
25   60.000
10   12.500
270   1.934.820
261   3.000.000
219   1.675.995
280   903.000
378   2.429.367
181   1.143.850
166   900.000
119   600.000
174   2.500.000
124   1.103.939
112   363.825
227   1.538.000
161   1.370.968
216   1.339.903
102   173.481
96   210.000
97   441.737
56   96.000
72   177.833
62   252.390
78   377.182
74   111.000
33   238.000
30   45.000
39   50.000
32   40.000
25   61.766
41   166.903
24   116.056
49   41.000
43   195.821
9  
20   96.713
32   6.500
14   5.500
14   4.000
13   15.000
13   9.500
53   48.200
11   3.000
16   27.084
21   30.000
21   20.000
46   43.549
21   10.000

Forecasting labour costs is a key aspect of hotel revenue management that enables hoteliers to appropriately allocate hotel resources and fix pricing strategies. Mary, the President of Hellenic Hoteliers Federation (HHF) is interested in investigating how labour costs (variable L_COST) relate to the number of rooms in a hotel (variable Total_Rooms). Suppose that HHF has hired you as a business analyst to develop a linear model to predict hotel labour costs based on the total number of rooms per hotel using the data provided.

3.1 Use the least squares method to estimate the regression coefficients b0 and b1

3.2 State the regression equation

3.3 Plot on the same graph, the scatter diagram and the regression line

3.4 Give the interpretation of the regression coefficients b0 and b1 as well as the result of the t-test on the individual variables (assume a significance level of 5%)

3.5 Determine the correlation coefficient of the two variables and provide an interpretation of its meaning in the context of this problem 3.6 Check statistically, at the 0.05 level of significance whether there is any evidence of a linear relationship between labour cost and total number of rooms per hotel

Total_Rooms   L_COST
412   2.165.000
313   2.214.985
265   1.393.550
204   2.460.634
172   1.151.600
133   801.469
127   1.072.000
322   1.608.013
241   793.009
172   1.383.854
121   494.566
70   437.684
65   83.000
93   626.000
75   37.735
69   256.658
66   230.000
54   200.000
68   199.000
57   11.720
38   59.200
27   130.000
47   255.020
32   3.500
27   20.906
48   284.569
39   107.447
35   64.702
23   6.500
25   156.316
10   15.950
18   722.069
17   6.121
29   30.000
21   5.700
23   50.237
15   19.670
8   7.888
20  
11  
15   3.500
18   112.181
23  
10   30.000
26   3.575
306   2.074.000
240   1.312.601
330   434.237
139   495.000
353   1.511.457
324   1.800.000
276   2.050.000
221   623.117
200   796.026
117   360.000
170   538.848
122   568.536
57   300.000
62   249.205
98   150.000
75   220.000
62   50.302
50   517.729
27   51.000
44   75.704
33   271.724
25   118.049
42  
30   40.000
44  
10   10.000
18   10.000
18  
73   70.000
21   12.000
22   20.000
25   36.277
25   36.277
31   10.450
16   14.300
15   4.296
12  
11  
16   379.498
22   1.520
12   45.000
34   96.619
37   270.000
25   60.000
10   12.500
270   1.934.820
261   3.000.000
219   1.675.995
280   903.000
378   2.429.367
181   1.143.850
166   900.000
119   600.000
174   2.500.000
124   1.103.939
112   363.825
227   1.538.000
161   1.370.968
216   1.339.903
102   173.481
96   210.000
97   441.737
56   96.000
72   177.833
62   252.390
78   377.182
74   111.000
33   238.000
30   45.000
39   50.000
32   40.000
25   61.766
41   166.903
24   116.056
49   41.000
43   195.821
9  
20   96.713
32   6.500
14   5.500
14   4.000
13   15.000
13   9.500
53   48.200
11   3.000
16   27.084
21   30.000
21   20.000
46   43.549
21   10.000

Hickory Company manufactures two products—15,000 units of Product Y and 7,000 units of Product Z. The company uses a plantwide overhead rate based on direct labor-hours. It is considering implementing an activity-based costing (ABC) system that allocates all $729,600 of its manufacturing overhead to four cost pools. The following additional information is available for the company as a whole and for Products Y and Z:

Required :

9. Using the ABC system, how much total manufacturing overhead cost would be assigned to Product Y?

10. Using the ABC system, how much total manufacturing overhead cost would be assigned to Product Z?

11. Using the plantwide overhead rate, what percentage of the total overhead cost is allocated to Product Y and Product Z?

12. Using the ABC system, what percentage of the Machining costs is assigned to Product Y and Product Z?

13. Using the ABC system, what percentage of Machine Setups cost is assigned to Product Y and Product Z?

14. Using the ABC system, what percentage of the Product Design cost is assigned to Product Y and Product Z?

15. Using the ABC system, what percentage of the General Factory cost is assigned to Product Y and Product Z?

You are working for Colorado Green Builders, a company in Boulder, Colorado, specializing in sustainable building. You are part of a project team that is supervising the design and construction of a visitor’s center in the Rocky Mountain National Park. The goal is to build the visitor’s center so that it is self-sufficient. That means it should use no outside resources, if possible, including energy, water, and waste systems. Your manager, Amanda Karlson, suggests that you meet with your team to plan this project.
a.Brainstorm the general categories of resources you need to build the visitor’s center so that it is self-sufficient. Consider everything typically found in a public building.
b.Review the resource categories and create a master list.
c.For each category, brainstorm ways to provide the resource without depending on outside systems. For example, if you have a food category, you could create a garden and greenhouse to provide fruits and vegetables without depending on outside suppliers.
d.Review the ideas your team generated, and then use convergent thinking techniques to edit the list. Your goal is to identify all the resources a visitor’s center needs using systems that are fairly easy to set up and maintain and are not too expensive.
e.Submit the list to your instructor as requested.

PLEASE HELP ME WITH THIS. ANY IDEA WILL HELP, OR EVEN SHORT ANSWER. THANK YOU!

why have oligopoly tech firms ( microsoft, apple) with near monopolies in their own sectors sought to compete with tech firms that have extremely strong, near monopoly positions in other sectors. Does this defy game theory or support it? Explain

Mikes Pizza Parlor chains operates restaurants located in a five state area. The most successful locations for Mike’s Pizza Parlor are near college campuses. The managers believe that quarterly sales for these restaurants are related positively to the size of the student population. In other words, restaurants located near campuses with a large population tend to generate more sales than those located near campuses with smaller populations. Using regression analysis, what is the dependent and independent variable to use? Explain. Then, provide a separate example on your own.