Coaching vs mentoring. What is the difference between them. Provide examples.

A detailed research paper on this topic with citation and bibliography.

If Mamata was able to work 24 hours a day she could produce 4 tonnes of rice (the principal food crop cultivated in West Bengal) each day. You are told that Mamata’s utility maximising choice is to work for 8 hours and produce 3 tonnes of rice.

Now you are informed that Mamata is no longer an independent farmer. Instead, she works as a bargadar and rents the land on which she works from a landowner and keeps 75% of the rice that she produces (as is the case after the adoption of Operation Barga).

Q7 Using your answer to Q6 as a starting point, show (on a separate model) Mamata’s new optimal choice as a sharecropper. Again, be sure to label and define each of the relevant points and lines on your diagram. List each of the assumptions you made when developing your model.

Q8 Discuss how the models developed in Q6 and Q7 can be used by economists to evaluate the fairness of economic outcomes?

On an ECG printout, explain the three parts of the cardiac cycle and what each represents in terms of heart action.

What is the benefit of looking at a 12-lead vs. a 4 or 6 lead ECG?

M&M candies have 6 different color coatings in a standard single serving bag: blue, brown, green, orange, red and yellow. However, the number of each color that occurs in an individual bag may not be proportional. If bags of M&M Milk Chocolate candies contained proportional counts by color, there should be about 17% green M&M’s. A sample of M&M Milk Chocolate bags consisted of 1093 M&Ms. There were 273 green M&M’s of the total M&M’s in the sample. Determine with an acceptable error rate of 1% if our M&M sample is consistent with the equal color proportion of 17% green M&M’s. H0: p = 0.17 The percentage of green M&M’s in bags of Milk Chocolate M&M’s is 17%. HA: p  0.17 The percentage of green M&M’s in bags of Milk Chocolate M&M’s is not 17%. 8. What is the sample proportion for green M&M’s? (2 points) 9. What would be the value of the appropriate test statistic for this hypothesis test? (5 points) 10. What is the P-value of the test statistic determined in question #9? (5 points) 11. What would be the decision for this hypothesis test? (i.e. reject or do not reject the null hypothesis?) (4 points) 12. State your conclusion, based on the selected decision in question #11, appropriate to the hypothesis test on percentage of green M&M’s in M&M bags. (5 points) 13. If we wish to have a margin of error of 0.05 or less, at least how many M&M’s should we have had in our sample? (Was our sample large enough?) (4 points)

When two lenses are used in combination, the first one forms an image that then serves as the object for the second lens. The magnification of the combination is the ratio of the height of the final image to the height of the object. A 1.60cm -tall object is 51.0cm to the left of a converging lens of focal length 40.0cm . A second converging lens, this one having a focal length of 60.0cm , is located 300cm to the right of the first lens along the same optic axis.

A)

Find the location and height of the image (call it I1) formed by the lens with a focal length of 40.0cm .

Enter your answer as two numbers separated with a comma in cm

B)

I1 is now the object for the second lens. Find the location and height of the image produced by the second lens. This is the final image produced by the combination of lenses.

Enter your answer as two numbers separated with a comma in cm

Part A

The pressure inside a hydrogen-filled container was 2.10 atm at 21 ?C. What would the pressure be if the container was heated to 93?C ?

What are the major similarities and differences between IAS 32 Financial Instruments: Disclosure and Presentation and IFRS 7 Financial Instruments: Disclosures?

2. The score recorded for student 12 for event 5 is incorrect. The score should be a 10. Make this change to the database table.

      a. What construct did you use? Insert the snip of your SQL code here:

      b. Display the contents of the score table for event 5. Be sure student 12 is displayed. Insert your snip here:

*************************************************************

DATABASE

************************************************************

#---Create and open the database

drop database if exists Class;

CREATE DATABASE Class;

#-- Using the database

USE Class;

# create student table

DROP TABLE IF EXISTS student;

CREATE TABLE student

(
  
name VARCHAR(20) NOT NULL,
  
gender ENUM('F','M') NOT NULL,
  
student_id INT UNSIGNED NOT NULL AUTO_INCREMENT,
  
PRIMARY KEY (student_id)

);

# create grade event table

DROP TABLE IF EXISTS grade_event;

CREATE TABLE grade_event

(
  
date DATE NOT NULL,
  
category ENUM('T','Q') NOT NULL,
  
event_id INT UNSIGNED NOT NULL AUTO_INCREMENT,
  
PRIMARY KEY (event_id)

);

# create score table

# The PRIMARY KEY comprises two columns to prevent any combination
# of event_id/student_id from appearing more than once.

DROP TABLE IF EXISTS score;

CREATE TABLE score

(
  
student_id INT UNSIGNED NOT NULL,
  
event_id INT UNSIGNED NOT NULL,
  
score INT NOT NULL,
  
PRIMARY KEY (event_id, student_id),
  
INDEX (student_id),
  
FOREIGN KEY (event_id) REFERENCES grade_event (event_id),
  
FOREIGN KEY (student_id) REFERENCES student (student_id)

);

# create absence table

DROP TABLE IF EXISTS absence;

CREATE TABLE absence

(
  
student_id INT UNSIGNED NOT NULL,
  
date DATE NOT NULL,
  
PRIMARY KEY (student_id, date),
  
FOREIGN KEY (student_id) REFERENCES student (student_id)

);

#--Populate the student table

INSERT INTO student VALUES ('Megan','F',NULL);

INSERT INTO student VALUES ('Joseph','M',NULL);

INSERT INTO student VALUES ('Kyle','M',NULL);

INSERT INTO student VALUES ('Katie','F',NULL);

INSERT INTO student VALUES ('Abby','F',NULL);

INSERT INTO student VALUES ('Nathan','M',NULL);

INSERT INTO student VALUES ('Liesl','F',NULL);

INSERT INTO student VALUES ('Ian','M',NULL);

INSERT INTO student VALUES ('Colin','M',NULL);

INSERT INTO student VALUES ('Peter','M',NULL);

INSERT INTO student VALUES ('Michael','M',NULL);

INSERT INTO student VALUES ('Thomas','M',NULL);

INSERT INTO student VALUES ('Devri','F',NULL);

INSERT INTO student VALUES ('Ben','M',NULL);

INSERT INTO student VALUES ('Aubrey','F',NULL);

INSERT INTO student VALUES ('Rebecca','F',NULL);

INSERT INTO student VALUES ('Will','M',NULL);

INSERT INTO student VALUES ('Max','M',NULL);

INSERT INTO student VALUES ('Rianne','F',NULL);

INSERT INTO student VALUES ('Avery','F',NULL);

INSERT INTO student VALUES ('Lauren','F',NULL);

INSERT INTO student VALUES ('Becca','F',NULL);

INSERT INTO student VALUES ('Gregory','M',NULL);

INSERT INTO student VALUES ('Sarah','F',NULL);

INSERT INTO student VALUES ('Robbie','M',NULL);

INSERT INTO student VALUES ('Keaton','M',NULL);

INSERT INTO student VALUES ('Carter','M',NULL);

INSERT INTO student VALUES ('Teddy','M',NULL);

INSERT INTO student VALUES ('Gabrielle','F',NULL);

INSERT INTO student VALUES ('Grace','F',NULL);

INSERT INTO student VALUES ('Emily','F',NULL);

INSERT INTO student VALUES ('Rachel','F',NULL);

#--Populate grade event table

INSERT INTO grade_event VALUES('2015-09-03', 'Q', NULL);
INSERT INTO grade_event VALUES('
2015-09-06', 'Q', NULL);
INSERT INTO grade_event VALUES('
2015-09-09', 'T', NULL);
INSERT INTO grade_event VALUES('
2015-09-16', 'Q', NULL);
INSERT INTO grade_event VALUES(
'2015-09-23', 'Q', NULL);
INSERT INTO grade_event VALUES('
2015-10-01', 'T', NULL);

#--Populate the score table

INSERT INTO score VALUES (1,1,20);

INSERT INTO score VALUES (3,1,20);

INSERT INTO score VALUES (4,1,18);

INSERT INTO score VALUES (5,1,13);

INSERT INTO score VALUES (6,1,18);

INSERT INTO score VALUES (7,1,14);

INSERT INTO score VALUES (8,1,14);

INSERT INTO score VALUES (9,1,11);

INSERT INTO score VALUES (10,1,19);

INSERT INTO score VALUES (11,1,18);

INSERT INTO score VALUES (12,1,19);

INSERT INTO score VALUES (14,1,11);

INSERT INTO score VALUES (15,1,20);

INSERT INTO score VALUES (16,1,18);

INSERT INTO score VALUES (17,1,9);

INSERT INTO score VALUES (18,1,20);

INSERT INTO score VALUES (19,1,9);

INSERT INTO score VALUES (20,1,9);

INSERT INTO score VALUES (21,1,13);

INSERT INTO score VALUES (22,1,13);

INSERT INTO score VALUES (23,1,16);

INSERT INTO score VALUES (24,1,11);

INSERT INTO score VALUES (25,1,19);

INSERT INTO score VALUES (26,1,10);

INSERT INTO score VALUES (27,1,15);

INSERT INTO score VALUES (28,1,15);

INSERT INTO score VALUES (29,1,19);

INSERT INTO score VALUES (30,1,17);

INSERT INTO score VALUES (31,1,11);

INSERT INTO score VALUES (1,2,17);

INSERT INTO score VALUES (2,2,8);

INSERT INTO score VALUES (3,2,13);

INSERT INTO score VALUES (4,2,13);

INSERT INTO score VALUES (5,2,17);

INSERT INTO score VALUES (6,2,13);

INSERT INTO score VALUES (7,2,17);

INSERT INTO score VALUES (8,2,8);

INSERT INTO score VALUES (9,2,19);

INSERT INTO score VALUES (10,2,18);

INSERT INTO score VALUES (11,2,15);

INSERT INTO score VALUES (12,2,19);

INSERT INTO score VALUES (13,2,18);

INSERT INTO score VALUES (14,2,18);

INSERT INTO score VALUES (15,2,16);

INSERT INTO score VALUES (16,2,9);

INSERT INTO score VALUES (17,2,13);

INSERT INTO score VALUES (18,2,9);

INSERT INTO score VALUES (19,2,11);

INSERT INTO score VALUES (21,2,12);

INSERT INTO score VALUES (22,2,10);

INSERT INTO score VALUES (23,2,17);
INSERT INTO score VALUES (24,2,19);

INSERT INTO score VALUES (25,2,10);

INSERT INTO score VALUES (26,2,18);

INSERT INTO score VALUES (27,2,8);

INSERT INTO score VALUES (28,2,13);

INSERT INTO score VALUES (29,2,16);

INSERT INTO score VALUES (30,2,12);

INSERT INTO score VALUES (31,2,19);

INSERT INTO score VALUES (1,3,88);

INSERT INTO score VALUES (2,3,84);

INSERT INTO score VALUES (3,3,69);

INSERT INTO score VALUES (4,3,71);

INSERT INTO score VALUES (5,3,97);

INSERT INTO score VALUES (6,3,83);

INSERT INTO score VALUES (7,3,88);
INSERT INTO score VALUES (8,3,75);

INSERT INTO score VALUES (9,3,83);

INSERT INTO score VALUES (10,3,72);
INSERT INTO score VALUES (11,3,74);

INSERT INTO score VALUES (12,3,77);

INSERT INTO score VALUES (13,3,67);
INSERT INTO score VALUES (14,3,68);

INSERT INTO score VALUES (15,3,75);

INSERT INTO score VALUES (16,3,60);

INSERT INTO score VALUES (17,3,79);

INSERT INTO score VALUES (18,3,96);

INSERT INTO score VALUES (19,3,79);

INSERT INTO score VALUES (20,3,76);

INSERT INTO score VALUES (21,3,91);

INSERT INTO score VALUES (22,3,81);

INSERT INTO score VALUES (23,3,81);

INSERT INTO score VALUES (24,3,62);

INSERT INTO score VALUES (25,3,79);

INSERT INTO score VALUES (26,3,86);

INSERT INTO score VALUES (27,3,90);

INSERT INTO score VALUES (28,3,68);

INSERT INTO score VALUES (29,3,66);

INSERT INTO score VALUES (30,3,79);

INSERT INTO score VALUES (31,3,81);

INSERT INTO score VALUES (2,4,7);

INSERT INTO score VALUES (3,4,17);

INSERT INTO score VALUES (4,4,16);

INSERT INTO score VALUES (5,4,20);

INSERT INTO score VALUES (6,4,9);

INSERT INTO score VALUES (7,4,19);

INSERT INTO score VALUES (8,4,12);

INSERT INTO score VALUES (9,4,17);

INSERT INTO score VALUES (10,4,12);

INSERT INTO score VALUES (11,4,16);

INSERT INTO score VALUES (12,4,13);

INSERT INTO score VALUES (13,4,8);

INSERT INTO score VALUES (14,4,11);

INSERT INTO score VALUES (15,4,10);

INSERT INTO score VALUES (16,4,20);

INSERT INTO score VALUES (18,4,11);

INSERT INTO score VALUES (19,4,15);

INSERT INTO score VALUES (20,4,17);

INSERT INTO score VALUES (21,4,13);

INSERT INTO score VALUES (22,4,20);

INSERT INTO score VALUES (23,4,13);

INSERT INTO score VALUES (24,4,12);
INSERT INTO score VALUES (25,4,10);

INSERT INTO score VALUES (26,4,15);

INSERT INTO score VALUES (28,4,17);

INSERT INTO score VALUES (30,4,11);

INSERT INTO score VALUES (31,4,19);

INSERT INTO score VALUES (1,5,15);

INSERT INTO score VALUES (2,5,12);

INSERT INTO score VALUES (3,5,11);

INSERT INTO score VALUES (5,5,13);

INSERT INTO score VALUES (6,5,18);

INSERT INTO score VALUES (7,5,14);

INSERT INTO score VALUES (8,5,18);

INSERT INTO score VALUES (9,5,13);

INSERT INTO score VALUES (10,5,14);

INSERT INTO score VALUES (11,5,18);

INSERT INTO score VALUES (12,5,8);

INSERT INTO score VALUES (13,5,8);

INSERT INTO score VALUES (14,5,16);

INSERT INTO score VALUES (15,5,13);

INSERT INTO score VALUES (16,5,15);

INSERT INTO score VALUES (17,5,11);

INSERT INTO score VALUES (18,5,18);

INSERT INTO score VALUES (19,5,18);
INSERT INTO score VALUES (20,5,14);

INSERT INTO score VALUES (21,5,17);

INSERT INTO score VALUES (22,5,17);

INSERT INTO score VALUES (23,5,15);

INSERT INTO score VALUES (25,5,14);

INSERT INTO score VALUES (26,5,8);

INSERT INTO score VALUES (28,5,20);

INSERT INTO score VALUES (29,5,16);

INSERT INTO score VALUES (31,5,9);

INSERT INTO score VALUES (1,6,100);

INSERT INTO score VALUES (2,6,91);

INSERT INTO score VALUES (3,6,94);

INSERT INTO score VALUES (4,6,74);

INSERT INTO score VALUES (5,6,97);

INSERT INTO score VALUES (6,6,89);

INSERT INTO score VALUES (7,6,76);

INSERT INTO score VALUES (8,6,65);

INSERT INTO score VALUES (9,6,73);

INSERT INTO score VALUES (10,6,63);

INSERT INTO score VALUES (11,6,98);

INSERT INTO score VALUES (12,6,75);

INSERT INTO score VALUES (14,6,77);

INSERT INTO score VALUES (15,6,62);

INSERT INTO score VALUES (16,6,98);

INSERT INTO score VALUES (17,6,94);

INSERT INTO score VALUES (18,6,94);

INSERT INTO score VALUES (19,6,74);
INSERT INTO score VALUES (20,6,62);

INSERT INTO score VALUES (21,6,73);

INSERT INTO score VALUES (22,6,95);

INSERT INTO score VALUES (24,6,68);

INSERT INTO score VALUES (25,6,85);

INSERT INTO score VALUES (26,6,91);
INSERT INTO score VALUES (27,6,70);

INSERT INTO score VALUES (28,6,77);

INSERT INTO score VALUES (29,6,66);

INSERT INTO score VALUES (30,6,68);

INSERT INTO score VALUES (31,6,76);

#--Populate the absence table

INSERT INTO `absence` VALUES (3,'2015-09-03');

INSERT INTO `absence` VALUES (5,'2015-09-03');

INSERT INTO `absence` VALUES (10,'2015-09-06');

INSERT INTO `absence` VALUES (10,'2015-09-09');

INSERT INTO `absence` VALUES (17,'2015-09-07');

INSERT INTO `absence` VALUES (20,'2015-09-07');

INSERT INTO `absence` VALUES (22,'2015-09-15');

Formulate the outline of a precision pricing policy for a four-star hotel designed to accommodate business guests as well as tourists from all over the world. Explain your answer

The chosen Company is Amazon. Financial statements for the years 2016, 2017 and 2018.

A. Analyze the income statement for any potential risk factors and compliance issues with Generally Accepted Accounting Principles (GAAP) or International Financial Recording Standards (IFRS).

B. Analyze the risk factors and compliance issues with GAAP or IFRS on the balance sheet.

C. Using the internal control, analyze the cash and revenue for potential risk factors.

1. What risks need to be documented?

2. How does this information compare to the company or industry averages, or the company’s past performance?

D. Explain the audit universe and how you identified it.

E. Based on your analysis of risk, devise a sampling program for the audit universe.

F. Choose the most preferable audit testing procedures that could be used in the field, based on the audit universe items sampled in this situation.

Please do not copy and paste.

Thank you

With the establishment of the World Trade Organization (WTO) in 1995 (previously General Agreement on Tariffs and Trade (GATT)) tariffs applied by many countries have been significantly reduced. Nevertheless businesses do still face problem because of the mushrooming of Non-Tariff Measures. discuss

The London Private Hospital has 3 patient services departments – Adult Medicine, Obstetrics and Paediatrics. It also has 3 patient support departments – administration, Facilities and Finance. The revenues of the three patient services departments are:

Adult medicine $12 million

Obstetrics $6 million

Paediatrics $2 million

The direct costs of all 6 departments are:

Adult medicine $6 million

Obstetrics $3.6 million

Paediatrics $1.2 million

Administration $1 million

Facilities $4.4 million

Finance $1.8 million

Direct costs of the support departments are allocated to patient services departments using the direct method on the basis of the % of services provided to the support departments to the patient service departments.

The table below gives the percentages of support provided by the support departments to both each other and the services departments. For example, 10% of admin’s services are provided to the finance department and 20% to obstetrics

Allocate the support overheads to the 3 patient service departments on the basis of the % of services provided.

b. Calculate the profit and loss position for each of the patient service departments and the hospital as a whole.

c. Should the hospital consider closing down any or all of the patient service departments to increase its profitability or reduce its losses? Explain why or why not.

Hint: All costs of the supporting units are to be allocated to cost objects.

Hint: Allocations rate depends solely on each cost object's cost driver and how much in total is allocated to cost objects

Hint: Allocation rates have a numerator and denominator component. The key is to adjust these based on information provided in the question.

Suppose that an initially empty queue performs the following operations. enqueue(7), enqueue(3), dequeue(), front(), enqueue(8), enqueue(5), front(), enqueue(4), dequeue(), enqueue(0), dequeue(), dequeue() List, in order, the values that are returned. Give your answer as a single multi-digit number, where each digit represents a single returned value. For example, if the operations returned 3, 1, 4, 1, 5, 9, and 2, in that order, then the answer would be 3141592. (The format 3,141,592 would also be fine.)