When cells migrate, they exert forces on substrate surfaces. Design an experiment to study the magnitude of the forces.Please provide detailed description for each step. (Hint: label the surface, detect surface deformation, reference: Kong H J et al. PNAS 102:4300 (2005))
In: Chemistry
A study of the amount of time it takes a mechanic to rebuild the transmission for a 2005 Chevrolet Cavalier shows that the mean is 8.4 hours and the standard deviation is 1.8 hours. If 40 mechanics are randomly selected, find the probability that their mean rebuild time exceeds 8.7 hours. Group of answer choices
In: Statistics and Probability
6. Make revenue forecast for Pacific Shoes for 2020
based on historical data if the company generated the following
revenues for the last five years. Also, calculate the forecast
error, draw a graph with the actual and the regression line revenue
by year, and show the forecast error on the graph.
Year 2015 2016 2017 2018 2019
Revenue (Million $) 52 58 62 59 66
In: Statistics and Probability
Suppose an insurance company offers a contract with an annual premium that is equal to what the company expects to pay out to their customers for the year. This type of contract is called:
Question 16 options:
|
full insurance |
|
|
partial insurance |
|
|
actuarially fair |
|
|
actuarially unfair |
In: Economics
A car insurance company is considering a new process where customers can notify the company of an accident and track the claims process by cell phone. Explain how they can use the stages of the adoption curve to decide how to implement the new technology
In: Operations Management
Visit the web site of the company cosmoONE-eProcurement which is active in electronic procurement solutions for businesses. Collect information and imprint up to 2 pages: i)the objects of the company ii)how the platform works iii)its key customers
In: Operations Management
This case study concerns a bank's efforts to calculate credit risk scores (These are opposite of credit scores. Higher the value the riskier the customer) A loan officer at a bank needs to be able to identify characteristics that are indicative of people who are likely to default on loans and use those characteristics to identify good and bad credit risks. The loan officer also needs to be able to better quantify an individual’s credit risk level.
Information on 700 past customers is given in the file along with data for the following variables:
Age: customer age in years.
Employment: years that the customer has been with his/her current employer
Address: years that the customer has lived at his/her current address
Income: household annual income (in $1,000)
Debt _to _Income: debt to income ratio (x100)
Risk _Score: Credit risk score (the higher the score, the more risky)
Default _Indicator: an indicator of whether the customer had previously defaulted
Test the hypothesis that the average credit risk score of customers who have previously defaulted on their loans is higher than those who haven’t defaulted on their loans. (Divide the credit risk score into two groups those who previously defaulted and those who didn’t and then compare the two groups.)
You would like to build a regression model to predict the credit risk score based on all the other variables. What is the regression equation?
What is the predicted credit risk score of a customer aged 40, who has been with their employer for 10 years, has lived at the same address for 3 years, has an income of $200,000, debt to income ratio of 2.5 and has previously defaulted on a loan. Will the prediction be accurate? Explain
Compute the coefficient of determination (R2) and fully interpret its meaning.
Interpret the meaning of the coefficients of the independent variables income and address.
Which independent variables significant? Defend your answer.
| Age in years | Years with current employer | Years at current address | Household income in thousands | Debt to income ratio (x100) | Previously Defaulted | Credit Risk Score |
| 41 | 17 | 12 | 176 | 9.3 | 1 | 808.3943274 |
| 27 | 10 | 6 | 31 | 17.3 | 0 | 198.2974762 |
| 40 | 15 | 14 | 55 | 5.5 | 0 | 10.0361081 |
| 41 | 15 | 14 | 120 | 2.9 | 0 | 22.13828376 |
| 24 | 2 | 0 | 28 | 17.3 | 1 | 781.5883142 |
| 41 | 5 | 5 | 25 | 10.2 | 0 | 216.7089415 |
| 39 | 20 | 9 | 67 | 30.6 | 0 | 185.9601084 |
| 43 | 12 | 11 | 38 | 3.6 | 0 | 14.70865349 |
| 24 | 3 | 4 | 19 | 24.4 | 1 | 748.0412036 |
| 36 | 0 | 13 | 25 | 19.7 | 0 | 815.0570131 |
| 27 | 0 | 1 | 16 | 1.7 | 0 | 350.309226 |
| 25 | 4 | 0 | 23 | 5.2 | 0 | 239.0539023 |
| 52 | 24 | 14 | 64 | 10 | 0 | 9.790173473 |
| 37 | 6 | 9 | 29 | 16.3 | 0 | 364.4940475 |
| 48 | 22 | 15 | 100 | 9.1 | 0 | 11.87390385 |
| 36 | 9 | 6 | 49 | 8.6 | 1 | 96.70407786 |
| 36 | 13 | 6 | 41 | 16.4 | 1 | 212.0503906 |
| 43 | 23 | 19 | 72 | 7.6 | 0 | 1.404870603 |
| 39 | 6 | 9 | 61 | 5.7 | 0 | 104.1453903 |
| 41 | 0 | 21 | 26 | 1.7 | 0 | 91.9180135 |
| 39 | 22 | 3 | 52 | 3.2 | 0 | 4.373536462 |
| 47 | 17 | 21 | 43 | 5.6 | 0 | 3.047352362 |
| 28 | 3 | 6 | 26 | 10 | 0 | 293.9321797 |
| 29 | 8 | 6 | 27 | 9.8 | 0 | 106.7996198 |
| 21 | 1 | 2 | 16 | 18 | 1 | 629.7774553 |
| 25 | 0 | 2 | 32 | 17.6 | 0 | 861.3134014 |
| 45 | 9 | 26 | 69 | 6.7 | 0 | 16.46115799 |
| 43 | 25 | 21 | 64 | 16.7 | 0 | 1.437993467 |
| 33 | 12 | 8 | 58 | 18.4 | 0 | 276.7066755 |
| 26 | 2 | 1 | 37 | 14.2 | 0 | 503.3218674 |
| 45 | 3 | 15 | 20 | 2.1 | 0 | 76.41958523 |
| 30 | 1 | 10 | 22 | 10.5 | 0 | 433.6994251 |
| 27 | 2 | 7 | 26 | 6 | 0 | 288.7388759 |
| 25 | 8 | 4 | 27 | 14.4 | 0 | 231.1006843 |
| 25 | 8 | 1 | 35 | 2.9 | 0 | 74.95719559 |
| 26 | 6 | 7 | 45 | 26 | 0 | 950.0535168 |
| 30 | 10 | 4 | 22 | 16.1 | 0 | 211.9564036 |
| 32 | 12 | 1 | 54 | 14.4 | 0 | 335.9969153 |
| 28 | 1 | 8 | 24 | 17.1 | 1 | 643.9032953 |
| 45 | 23 | 5 | 50 | 4.2 | 0 | 2.268753579 |
| 23 | 7 | 2 | 31 | 6.6 | 0 | 132.8782071 |
| 34 | 17 | 3 | 59 | 8 | 0 | 31.76854323 |
| 42 | 7 | 23 | 41 | 4.6 | 0 | 31.90347933 |
| 39 | 19 | 5 | 48 | 13.1 | 0 | 28.07933138 |
| 26 | 0 | 0 | 14 | 7.5 | 1 | 511.04996 |
| 21 | 0 | 1 | 16 | 6.8 | 0 | 453.6168743 |
| 35 | 13 | 15 | 35 | 4.5 | 0 | 10.78188877 |
| 47 | 4 | 2 | 26 | 10.4 | 0 | 281.6573725 |
| 23 | 0 | 2 | 21 | 11.4 | 1 | 621.7847698 |
In: Math
Go to the Files section and download the AFE_Test file from the Datasets folder. We are interested in a onetail test described in the following fashion: Ho: u < or = to 200 CFM; H1: u > 200 CFM. At 5% significance level,
we can reject the null hypothesis given the sample information in AFE_Test1.
we can reject the null hypothesis given the sample information in AFE_Test2.
we cannot reject the null hypothesis.
we can reject the null hypothesis given the sample information in AFE_Test1 and AFE_Test2.
Engine
Number Air Flow Error
1
415.4743512
2
346.09016
3
-8.596266867
4
532.7726337
5
283.0702257
6
189.3824034
7
105.5314484
8
334.2984697
9
184.4056484
10
256.663138
11
-104.457736
12
467.3703235
13
258.2404746
14
-2.074507734
15
-40.79538064
16
6.80056894
17
90.27253748
18
338.7010153
19
331.0819963
20
649.4146936
21
313.2307526
22
503.0561507
23
403.6624912
24
223.0000044
25
214.666741
26
-201.8286026
27
181.0092996
28
405.3486368
29
78.97865964
30
105.2625563
31
-20.7479801
32
305.6369038
33
-25.34042812
34
290.649136
35
160.2956032
36
581.8788331
37
87.38225426
38
236.7845624
39
461.8920726
40
-1.765506909
41
-1.139319807
42
155.2220552
43
172.5709168
44
324.958664
45
137.8738076
46
431.9881597
47
294.0063993
48
370.8186838
49
-268.3206689
50
377.8966444
51
15.56555128
52
400.5351499
53
237.0884473
54
-114.9040103
55
-1.842450161
56
258.17274
57
306.9807505
58
199.0776624
59
-159.7275472
60
90.7100499
61
50.57186593
62
-235.5723112
63
239.8702733
64
252.8041065
65
66.01740517
66
139.3463705
67
157.9240731
68
398.7363967
69
349.8917564
70
157.576396
71
108.0615717
72
246.23303
73
284.4200068
74
416.5905053
75
39.32832863
76
188.2311195
77
218.0355792
78
198.1066631
79
399.3020115
80
158.6990307
81
404.0966402
Engine Number Air Flow Error
1
-5.910636889
2
454.3618488
3
248.8773234
4
280.4565938
5
353.3013896
6
-218.8510862
7
94.68939062
8
332.6359874
9
425.0468792
10
299.2086466
11
-5.854975813
12
304.4174591
13
539.9043275
14
408.6882527
15
-130.7805305
16
712.8235887
17
110.8343768
18
41.30960043
19
293.1632807
20
219.859895
21
147.6832367
22
522.4087418
23
-22.70800359
24
102.6290747
25
518.992134
26
49.33093443
27
324.0126134
28
486.8666893
29
522.5290679
30
264.1219098
31
37.28276716
32
106.6241894
33
45.27340572
34
362.001093
35
110.5986357
36
335.748915
37
226.6452257
38
350.815877
39
275.9994104
40
195.8830681
41
391.2196789
42
439.131587
43
274.5389211
44
210.0179118
45
302.4803718
46
307.4775905
47
-112.4925929
48
463.7959919
49
204.2295691
50
371.1563168
51
86.33736435
52
68.51681611
53
262.680861
54
268.7462811
55
444.2777809
56
468.5967597
57
388.3007466
58
276.8384193
59
184.5206371
60
94.26292855
61
453.4004675
62
175.5802814
63
22.65986588
64
249.5145609
65
155.0875923
66
243.9447699
67
528.9350029
68
512.2006642
69
94.9378191
70
604.680723
71
240.4991037
72
399.2537004
73
194.1203309
74
197.734822
75
268.7425977
76
356.5817097
77
515.0917659
78
394.3821284
79
399.1902631
80
338.4149168
81
192.9782557
In: Statistics and Probability
Answer the following statements as true or false, then select the correct multiple -choice answer:
1. If dividends are declared during the year the company would close the dividend account by debiting retained
earnings and crediting the dividend account.
2. A company that forgets to recognize depreciation for the year understates its income and assets.
3. Prepaid insurance expense will have a zero balance on the after closing trial balance.
4. Retained earnings on an adjusted trial balance is the beginning retained earnings for the period.
A. True, False, False, False
B. False, True, True, False
C. True, False, False, True
D. True, True, False, False
A partial listing of a company’s accounts are listed below:
Sales Revenue $190,000 Depreciation Expense $20,000
COGS 84,000 Rent Expense 8,000
Cash 1,000 Unearned Revenue 2,000
Building 200,000 Wage Expense 30,000
Accumulated Depreciation 44,000 Interest Expense 3,000
Note Payable 50,000 Service Revenue 60,000
Dividends 4,000 Goodwill 7,000
The closing entry to close the Income Summary would include a debit to Income Summary for:
A. $101,000
B. $189,000
C. $105,000
D. $ 77,000
In: Accounting
Revenues are normally recognized when the company transfers promised goods or services in the amount the company expects to receive. The amount recorded is the cash-equivalent sales price. The following transactions occurred in September:
Required:
For each of the transactions, if revenue is to be recognized in September, indicate the revenue account title and amount. (If revenue is not recognized choose "None". Round "Interest revenue" answer to 2 decimal places.)
Revenue Account Affected Amount of revenue earned in September
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
In: Accounting