英国留学生指导会计决策assignment需求

论文题目：会计决策
论文语种：英文
您的研究方向：会计
是否有数据处理要求：否
您的国家：英国
您的学校背景：英国排名40左右
要求字数：无
论文用途：本科课程论文 BA Assignment
是否需要盲审（博士或硕士生有这个需要）：
补充要求和说明：要求准确的计算以及一定字数对计算结果用途的清楚表达
Skills:      Analytical skills
      Research skills

Learning Outcomes Addressed :  All Five

Moderated by:   Robert Hall and Jeff Evans

Your report must be handed in no later than the due in date as set out above.

This is an INDIVIDUAL coursework assignment.

There are two questions to attempt.   Each of the two questions has a reflection section and this section is worth 50% of the marks attributed to each question.

Both questions are awarded equal marks

Where possible, support your case studies with the use of an Excel spreadsheet.  

Use any given themes as case studies.

Use your models in each of the questions, to assist you to investigate and analyse the relative strengths and weaknesses.   Using the information you find, you are then requested to prepare a report demonstrating your ability to critically evaluate and to reflect upon, the performance of your models as instruments of policy to assist the decision making processes.  

Your reflection section for each question must contain information relating to how you would re-address and re-submit your work using a different approach or perspective, how you formulated your ideas for your original work, what methods you used in your research, what library references you found useful, how confident you are in your model etc. etc.   Note, this list is not exhaustive.   In this section, you may use sensitivity analysis to help you to critically evaluate and to reflect upon your models.

Remember, your reflection section is worth 50% of the marks for EACH of the two questions. (Learning Outcomes 2 and 4)   To help you with reflection and sensitivity analysis, you should ‘study’ your respective models into some detail.
 

Question 1  

The management of a rail ticketing service is attempting to resolve customer complaints concerning waiting times for service.   http://www.ukassignment.org/  Use the enclosed data and set up a model to determine the randomness of customer arrivals and of service times.   Use the results of your model to assist you to report your findings and, provide explanations and reasons to support the construction of your model.   Ensure you highlight any assumptions you make.

You may make use of the template attached to this examination script.   Ensure you have included your name on the template and detached it from the examination script and safely inserted it into your answer booklet.#p#分页标题#e#

Empirical data indicates the inter-arrival times of customers to the services desks are spurious and, for modelling purposes, are rounded to the nearest two minutes.   41% of the customers arrive within two minutes of each other, 21% arrive between two and four minutes of each other, 23% between four and six minutes, 9% between six and eight minutes and the remainder, between eight and ten minutes.

Service times are also spurious and for modelling purposes, are rounded to the nearest three minutes.   13% of customers took up to three minutes for service, 14% between three and six minutes, 31% between six and nine minutes and the remainder took between nine and twelve minutes.

You may assume the first customer arrives for service at 09:00 hours.   You may further assume that customers prefer to be serviced at the first desk (desk 1), if both desks are available.

HINT : commence your (cumulative) random numbers from Unity (1)

Discuss- your findings.   Also within your reflection section and, as additional information to the requested information contained in the rubric on page one above, you should address the strong and weak points in your model identified by sensitivity analysis.   For example, comment upon the strength/weakness in your model when faced with changes in the inter-arrival/service times etc.   Remember, this reflection section is worth up to 50% of your marks for this question.

Question 2 

Consider the following data in table 2.1

a) It is believed that there is a relationship between the two variables X and Y.   Present this data in a suitable diagram and discuss the type of relationship that exists.
 
b) Identify a mathematical model to measure the linear strength of the relationship and use that model to comment upon the linear strength.   Show all working.
 
c)  Develop a mathematical model to predict a value of Y given a value of X.   Show all working.
 
 For parts ‘b’ and ‘c’ above, you may undertake the analysis by hand or by the computer but you must show the working that you use.
 
Consider the following data in table 2.2
 
 d) Use the model you developed in part (b) above to measure the linear strength of the relationship between the data contained in table 2.2   Comment upon your answer, including a comparison with the value you obtained from part (b) for the linear relationship of the data contained in table 2.1.
 
Discuss- your findings.   Also within your reflection section and, as additional information to the requested information contained in the rubric on page one above, you should address the strong and weak points in your model identified by sensitivity analysis.   Remember, this reflection section is worth up to 50% of your marks for this question.#p#分页标题#e#
 
e) For the data contained in table 2.1, use the mathematical model you developed in part (c) to forecast the values for Yhttp://www.ukassignment.org/Accounting_Essay/ when X is 18.   For the data contained in table 2.2, use a similar mathematical model to the model you developed in part (c) to forecast the values for Y when X is 18.   In both cases, show all working.   How accurate do you think these results are?   Justify your reasons for the accuracy.

(Hint for part (d) : consider your responses to part (b) of this question as an aid).