Questions
In this question, we want to create a confidence interval for mu(m) - mu (u), the...

In this question, we want to create a confidence interval for mu(m) - mu (u), the difference in average Income between the genders: Male and Female. You may use the original data for this, or notice that I’ve included two rows in addition to the Exam1 data which has the incomes broken down by gender.

a) Check the conditions to construct a confidence interval for the difference in these two means.

b) Include the output from Minitab or Statcrunch showing the confidence interval of interest.

c) Interpret the interval in words relating to the original question.

Age (Years) Education (Years) Gender Student Married Ethnicity Income (Dollars/Year) Income of Females Income of Males
71 14 Female No Yes Asian 29705 29705 18145
56 15 Male No Yes African American 18145 55412 49502
37 16 Female Yes Yes Caucasian 55412 20974 140672
44 16 Female No Yes Caucasian 20974 30550 13647
81 9 Female No No African American 30550 75406 103893
55 14 Male No Yes Caucasian 49502 12000 10635
46 9 Male No Yes African American 140672 30007 15741
41 14 Female No Yes Asian 75406 152298 44205
47 14 Male No Yes Caucasian 13647 87625 42529
28 14 Female No Yes Caucasian 12000 30682 17316
69 9 Female No Yes Caucasian 30007 31335 32856
41 12 Female No Yes Asian 152298 19782 60449
84 17 Male No No Asian 103893 130209 149316
69 16 Male No Yes Asian 10635 27470 11603
46 10 Female No No African American 87625 28575 83869
39 14 Male No Yes Asian 15741 34509 24050
77 7 Female No No Caucasian 30682 58351 107841
38 7 Female No No Caucasian 31335 15079 33017
46 16 Female Yes No Caucasian 19782 30413 29567
39 19 Female No Yes Caucasian 130209 80616 26370
32 12 Male No Yes Caucasian 44205 57337 24824
32 11 Female No Yes Asian 27470 94193 30012
37 11 Male No Yes Asian 42529 69165 36364
65 13 Male No No African American 17316 27369 15717
60 11 Female No No African American 28575 58929 30111
80 18 Female No Yes African American 34509 59879 35691
68 13 Male No No Caucasian 32856 44473 91362
69 8 Male No Yes Caucasian 60449 37878 28144
80 16 Male No No African American 149316 16103 52179
85 16 Female No Yes Caucasian 58351 53401 25124
71 11 Male No Yes Caucasian 11603 10588 68713
28 15 Female No Yes Asian 15079 31811 62328
83 11 Male No No African American 83869 26067 69656
32 18 Male No Yes Caucasian 24050 19537 44522
87 7 Male No No African American 107841 36496 71682
28 16 Male No Yes African American 33017 24230 16304
25 15 Female Yes No Asian 30413 23350 23793
25 15 Male No No Caucasian 29567 26532 23672
57 7 Female No Yes Asian 80616 29403 27229
78 11 Male No Yes Asian 26370 148924 60579
45 7 Female No No Caucasian 57337 22939 13561
33 9 Male Yes No Caucasian 24824 22561 53480
33 17 Male No Yes Caucasian 30012 106025 55882
44 16 Female No Yes Caucasian 94193 65896 28508
34 11 Female No No African American 69165 80861 12414
40 9 Female No Yes Caucasian 27369 29638 23949
66 9 Female No Yes African American 58929 15846 23857
78 15 Female No No Caucasian 59879 15333 14887
81 16 Female No No African American 44473 32164 16479
50 19 Male No No Caucasian 36364 20936 33437
38 16 Male Yes Yes Caucasian 15717 55187 125480
80 13 Female No No Caucasian 37878 59855 24889
81 18 Male No Yes Caucasian 30111 21455 36362
45 10 Female No Yes Caucasian 16103 14084 67937
35 15 Male No No African American 35691 41419 83851
47 17 Male No Yes Asian 91362 27272 25974
35 12 Female No No African American 53401 63931 43682
66 13 Female No Yes Caucasian 10588 40885 20405
75 13 Female No Yes Caucasian 31811 19144 64173
74 17 Female No Yes African American 26067 20089 35610
51 10 Male No Yes Caucasian 28144 27847 85425
57 14 Male No No Asian 52179 18951 91876
34 9 Female No Yes Asian 19537 49927 41400
29 12 Male No Yes Caucasian 25124 13676 76348
56 16 Male Yes No Caucasian 68713 98515 23012
83 15 Male No No Caucasian 62328 10735 15354
41 14 Male No Yes African American 69656 27794 160231
72 15 Male No Yes Asian 44522 58165 121709
57 16 Male No Yes Caucasian 71682 36508 68462
69 15 Female No Yes Asian 36496 73914 113772
66 10 Male No Yes Asian 16304 41025 21153
70 14 Male No No African American 23793 36934 41532
63 11 Male No No Caucasian 23672 134181 31367
51 11 Male No No Caucasian 27229 76782
38 15 Male No Yes Asian 60579 30733
64 15 Female No Yes Caucasian 24230 53308
49 12 Female Yes No Caucasian 23350 55054
58 19 Female No Yes Caucasian 26532
37 19 Male No Yes Asian 13561
83 15 Male No No Caucasian 53480
68 16 Male No Yes Caucasian 55882
56 14 Male No Yes Asian 28508
37 14 Female No Yes Caucasian 29403
36 11 Female No No Asian 148924
32 12 Male No Yes African American 12414
47 18 Female No Yes Asian 22939
40 18 Male No Yes African American 23949
56 16 Male No Yes Caucasian 23857
58 12 Male No Yes African American 14887
66 15 Female No No Caucasian 22561
82 15 Female Yes Yes Asian 106025
49 17 Female No Yes Caucasian 65896
29 15 Female No Yes Asian 80861
26 16 Male No No African American 16479
29 15 Female No Yes Asian 29638
44 9 Male Yes No Caucasian 33437
53 12 Female No No Caucasian 15846
82 16 Male No Yes Caucasian 125480
75 12 Male No Yes Caucasian 24889
47 9 Female No Yes Asian 15333
79 15 Female No Yes African American 32164
30 15 Female No No Asian 20936
50 17 Female No Yes Caucasian 55187
49 15 Male No Yes African American 36362
63 12 Male No Yes Asian 67937
47 18 Male No No Caucasian 83851
46 13 Female No Yes Caucasian 59855
24 10 Male No No Asian 25974
49 9 Male No Yes Caucasian 43682
72 17 Male Yes No Asian 20405
80 12 Female No Yes African American 21455
46 17 Female No Yes African American 14084
80 10 Male No Yes Caucasian 64173
40 12 Male No No Caucasian 35610
60 12 Male No Yes African American 85425
24 11 Female Yes No Caucasian 41419
33 10 Male No Yes Caucasian 91876
67 10 Female No Yes Caucasian 27272
36 14 Male No Yes Caucasian 41400
60 18 Male No No Asian 76348
28 14 Female No Yes African American 63931
81 16 Male No No Caucasian 23012
46 13 Female No Yes African American 40885
65 14 Male No No Asian 15354
69 17 Male No No Caucasian 160231
75 13 Female No No African American 19144
57 15 Female No Yes African American 20089
50 6 Male No Yes Caucasian 121709
78 15 Female No Yes Caucasian 27847
71 16 Male No Yes Caucasian 68462
82 13 Female No No Caucasian 18951
75 17 Female No Yes Caucasian 49927
69 15 Male Yes Yes Caucasian 113772
41 11 Male No No Caucasian 21153
50 12 Male No Yes Caucasian 41532
30 10 Male No Yes Caucasian 31367
44 12 Male No Yes Asian 76782
51 13 Male No No Caucasian 30733
80 16 Female No No African American 13676
78 11 Female No No African American 98515
44 17 Female No Yes Caucasian 10735
35 8 Female No Yes African American 27794
84 10 Male No Yes Caucasian 53308
56 12 Female No Yes Caucasian 58165
74 17 Male No Yes Asian 55054
79 6 Female No Yes Caucasian 36508
67 15 Female No Yes Caucasian 73914
79 19 Female No Yes Caucasian 41025
63 9 Female No Yes Caucasian 36934
48 13 Female No No Caucasian 134181

In: Statistics and Probability

C++ code please: Write a program that first gets a list of integers from input. The...

C++ code please:

Write a program that first gets a list of integers from input. The input begins with an integer indicating the number of integers that follow. Then, get the last value from the input, which indicates how much to multiply the array by. Finally, print out the entire array with each element multiplied by the last input.

Assume that the list will always contain less than 20 integers.

Ex: If the input is

4 4 8 -4 12 -1

the output is

-4 -8 4 -12

Ex: If the input is

7 0 1 2 3 4 5 6 3

the output is

0 3 6 9 12 15 18

In: Computer Science

The following incomplete balance sheet for the Sanderson Manufacturing Company was prepared by the company’s controller....

The following incomplete balance sheet for the Sanderson Manufacturing Company was prepared by the company’s controller. As accounting manager for Sanderson, you are attempting to reconstruct and revise the balance sheet.

SANDERSON MANUFACTURING COMPANY
Balance Sheet
At December 31, 2018
($ in 000s)
Assets
Current assets:
Cash $ 2,350
Accounts receivable 5,700
Allowance for uncollectible accounts (1,500 )
Finished goods inventory 7,100
Prepaid expenses 2,300
Total current assets 15,950
Long-term assets:
Investments 4,100
Raw materials and work in process inventory 3,350
Equipment 20,000
Accumulated depreciation—equipment (5,300 )
Patent ?
Total assets $ ?
Liabilities and Shareholders’ Equity
Current liabilities:
Accounts payable $ 6,300
Note payable 6,200
Interest payable—note 1,200
Deferred revenue 5,200
Total current liabilities 18,900
Long-term liabilities:
Bonds payable 6,600
Interest payable—bonds 500
Shareholders’ equity:
Common stock $ ?
Retained earnings ? ?
Total liabilities and shareholders’ equity ?


Additional information ($ in 000s):

Certain records that included the account balances for the patent and shareholders’ equity items were lost. However, the controller told you that a complete, preliminary balance sheet prepared before the records were lost showed a debt to equity ratio of 1.3. That is, total liabilities are 130% of total shareholders’ equity. Retained earnings at the beginning of the year was $6,200. Net income for 2018 was $2,100 and $500 in cash dividends were declared and paid to shareholders.

Management intends to sell the investments in the next six months.

Interest on both the note and the bonds is payable annually.

The note payable is due in annual installments of $1,550 each.

Deferred revenue will be recognized as revenue equally over the next two fiscal years.

The common stock represents 500,000 shares of no par stock authorized, 360,000 shares issued and outstanding.

Required:
Prepare a complete, corrected, classified balance sheet. (Amounts to be deducted should be indicated by a minus sign.)
  

In: Accounting

after getting into a motorcycle accident, dave briefly lost consciousness. when the paramedics arrive, they begin...

after getting into a motorcycle accident, dave briefly lost consciousness. when the paramedics arrive, they begin asking him questions. dave knows his name, the date, and how he got there. he also remembers every childhood experience he is asked about. when given a list of seven digits to remember for 15 seconds, dave has no trouble recalling them. so far, the paramedics are relieved. after waiting 15 minutes, the paramedics ask dave if they can run the tests again. Dave replies "what tests"? you haven't run any tests. based on this information, what aspects of daves memory are working and which are not?

In: Psychology

There are seven major methods to overcoming resistance to change: (1) develop a positive trust climate...

There are seven major methods to overcoming resistance to change: (1) develop a positive trust climate for change, (2) plan the change, (3) clearly state why the change is needed and how it will affect employees, (4) create a win-win situation, (5) involve employees, (6) provide support and evaluation, (7) and create urgency. Think of a situation where you would like to implement a major change with a group of individuals you work with. How would you utilize one or more of these methods to overcome resistance to your change?

In: Nursing

How would you decide between two capital project choices if the different analysis methods (NPV, IRR,...

How would you decide between two capital project choices if the different analysis methods (NPV, IRR, etc.) were pointing to different options? What are the relative strengths and weaknesses of each? Original posts should contain a minimum of 120 words, and at least one response with a minimum of 40 words should be made to a classmate's post.

In: Finance

Number of Components Inspection Time 31 83 14 49 8 30 17 60 15 50 10...

Number of Components Inspection Time 31 83 14 49 8 30 17 60 15 50 10 41 23 72 43 98 6 23 12 41 20 63 9 26 31 80 13 49 12 30 20 62 18 52 18 60 24 72 45 101 16 58 14 44 20 67 12 46 22 69 A lead inspector at ElectroTech, an electronics assembly shop, wants to convince management that it takes longer, on a per-component basis, to inspect large devices with many components than it does to inspect small devices because it is difficult to keep track of which components have already been inspected. To prove her point, she has collected data on the inspection time (Time in seconds) and the number of components per device (Components) from the last 25 devices. A portion of the data is shown in the accompanying table. Estimate the linear, quadratic, and cubic regression models. Report the Adjusted R2 for each model. (Round answers to 4 decimal places.) Which model has the best fit? Cubic model Quadratic model Linear model Use the best model to predict the time required to inspect a device with 38 components. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.) seconds

In: Statistics and Probability

Suppose there are two countries: Japan and the United States, producing two goods, x- ray machines...

  1. Suppose there are two countries: Japan and the United States, producing two goods, x- ray machines (x) and yucca plants (y). The following table shows the amount of labor inputs needed to make one unit of output of each of the two commodities in each of the two countries. Suppose Japan has 48 million workers and the United States has 24 million workers.

x-ray

yucca

Japan

12

6

US

2

8

a.) (6 points) Graph the production possibility frontier (PPF) for each country. Which country has the comparative advantage in producing x-ray machines?

In: Economics

Neurology Case scenario. Bystanders found a 28-year-old, unhelmeted, male prone and unconscious after he had lost...

Neurology Case scenario.

Bystanders found a 28-year-old, unhelmeted, male prone and unconscious after he had lost control of his motorcycle and went off the road. He was brought to the Emergency Department via ambulance intubated. The physical examination revealed a GCS of 3T, 4 mm bilaterally fixed pupils, negative corneal response, right parietal cephalohematoma, and cerebral spinal fluid (CSF) otorrhea on the right. CT of the head showed subarachnoid hemorrhage with left frontal and temporal subdural hemorrhage, effacement of the suprasellar cistern, and effacement of the 3rd and 4th ventricle. He also sustained a frontal base fracture.

  1. Develop a plan of care for this patient. with Two (2) actual problems and One (1) potential problem.

In: Nursing

A customer has an unsecured overdraft facility of $10 000 with an exposure of $11 000...

A customer has an unsecured overdraft facility of $10 000 with an exposure of $11 000 and a mortgage of $400 000 on a house with an outstanding amount of $397500. The customer applies for increased overdraft facilities. Internal bank records indicate that frequent excesses occur on the existing overdraft and the mortgage bond in the personal name of the owner is two months in arrears. Further investigations prove that the customer lost an arm in an accident and is not able to continue with his previous career.

Question
Which one of the following persons within the bank would be able to provide the best advice about future prospects of the customer:

a. Insolvency practitioner

b. Credit specialist advisor

c. Trust advisor

d. Financial planning advisor

e. Health services advisor

In: Finance