This document consists of exam questions related to two fictional businesses - Classic Clothes and Fine Furniture. For Classic Clothes, the questions cover capital intensive production, analyzing financial statements, factors to consider for new equipment financing, and impacts of Just-in-Time manufacturing. For Fine Furniture, the questions address the secondary sector, leadership styles, calculating margin of safety for a new product line, strengths and weaknesses of family businesses, and potential human resource issues from cost-cutting plans. The document provides background information on each company and tables of financial data to reference in answering the exam questions.
A presentation conducted by A/Prof Kang Tai
Nanyang Technological University.
Presented on Thursday the 3rd of October 2013.
Critical infrastructures like our power generation facilities and water supply form highly interconnected networks that are mutually dependent and any failure can cascade through the network, resulting in devastating impact on health, safety and the economy. These catastrophic events/disruptions can be triggered by environmental accidents, geological/weather phenomena, disease pandemics, etc. The disruptions can be caused/exacerbated by their being unexpected, but they may actually be expected if relevant data have been accounted for. To help account for and thereby anticipate
such disruptions, one way is to identify potential unforeseen interdependencies among infrastructure components that can lead to extreme disruptions upon some failure in the network. This paper shows how a simulation model for cascading failures and a risk analysis/optimization approach can be applied to search for unforeseen interdependencies and failure points that give rise to the highest risk in a network.
The ISG Outsourcing Index® provides a quarterly review of the latest sourcing industry data and trends for clients, service providers, analysts and the media. For more than a decade, it has been the authoritative source for marketplace intelligence related to outsourcing transaction structures and terms, industry adoption, geographic prevalence and service provider performance.
At the ISG Sourcing Industry Conference in the Americas, Stanton Jones and Paul Schmidt discussed how the enterprise demand for SaaS is surging and what the implications will be.
DirectionsThis exam consists of seven problems and is an open-boo.docxduketjoy27252
Directions:This exam consists of seven problems and is an open-book exam with no time limit. All work should be done individually. Word-process your solutions within this template and show all steps used in arriving at the final answers. Incomplete solutions will receive partial credit. Copy and paste all necessary data from Excel into this document and create tables as needed.
Problem 1
Suppose a manufacturing company makes a certain item. The time to produce each item is normally distributed around a mean of 27 minutes with a standard deviation of 2.5 minutes. Thus, the population of production times is normal in shape. Find the mean and standard deviation of the sample.
Problem 2
The average prices for a product in 12stores in a city are shown below.
$2.99, $2.85, $3.25, $3.55, $3.00, $2.99, $2.76, $3.50, $3.20, $2.85, $3.75, $3.85
Test the hypothesis that the average price is higher than $2.87. Use level of significance = 0.05.
Problem 3
A store wishes to predict net profit as a function of sales for the next year.The following table gives the years 1998 to 2005.
Year
Sales
(thousands of dollars)
Net Profit
1998
51
5
1999
55
10.2
2000
65
9.6
2001
82
-3
2002
75
2.8
2003
71
3.2
2004
82
-2.3
2005
81
-2.6
(a) Graph the points from 1998 through 2005on ascatter diagram using Sales as the independent variable and Net Profit as the dependent variable.
(b) Draw the regression line on the graph you constructed in Part (a).
(c) What is the value of the coefficient of determination for this regression model? Comment on the strength of the regression line for this model.
(d) What is the predicted net profit for 2006 if sales are expected to be 125?
Problem 4
Last week’s sales of iMac computers at an Apple Store in Oklahoma City, OK,are shown in the following table:
Day
Sales (Dollars)
1
180
2
150
3
210
4
225
5
195
6
190
7
230
(a) Use the 3-day moving average method for forecasting days 4–7.
(b) Use the 3-day weighted moving average method for forecasting days 4–7. Use Weight 1 day ago = 2, Weight 2 days ago = 4, and Weight 3 days ago = 3.
(c) Compare the techniques using the mean absolute deviation (MAD).
Problem 5
The following table shows six years of average annual cost-of-living index data:
Year
Annual Cost of Living Index
2008
105.8
2009
111.4
2010
121.9
2011
134.3
2012
128.6
2013
125.2
(a) Forecast the average annual food price index for all years from 2008 to 2013. Use a 3-year weighted moving average with weights of 0.5, 0.3, and 0.2. Use the largest weight with the most recent data.
(b) Forecast the average annual food price index using exponential smoothing with α = 0.7 for all years from 2008 to 2014. Use the rate for 2008 as the starting forecast for 2008.
(c) Which of the methods in parts (a) and (b) produces better forecasts for the 3 years from 2011 to 2013? Answer on the basis of mean square error (MAD).
Problem 6
A company manufactures two products, Product A and Product B. The wholesale price and manufacturing cost.
A presentation conducted by A/Prof Kang Tai
Nanyang Technological University.
Presented on Thursday the 3rd of October 2013.
Critical infrastructures like our power generation facilities and water supply form highly interconnected networks that are mutually dependent and any failure can cascade through the network, resulting in devastating impact on health, safety and the economy. These catastrophic events/disruptions can be triggered by environmental accidents, geological/weather phenomena, disease pandemics, etc. The disruptions can be caused/exacerbated by their being unexpected, but they may actually be expected if relevant data have been accounted for. To help account for and thereby anticipate
such disruptions, one way is to identify potential unforeseen interdependencies among infrastructure components that can lead to extreme disruptions upon some failure in the network. This paper shows how a simulation model for cascading failures and a risk analysis/optimization approach can be applied to search for unforeseen interdependencies and failure points that give rise to the highest risk in a network.
The ISG Outsourcing Index® provides a quarterly review of the latest sourcing industry data and trends for clients, service providers, analysts and the media. For more than a decade, it has been the authoritative source for marketplace intelligence related to outsourcing transaction structures and terms, industry adoption, geographic prevalence and service provider performance.
At the ISG Sourcing Industry Conference in the Americas, Stanton Jones and Paul Schmidt discussed how the enterprise demand for SaaS is surging and what the implications will be.
DirectionsThis exam consists of seven problems and is an open-boo.docxduketjoy27252
Directions:This exam consists of seven problems and is an open-book exam with no time limit. All work should be done individually. Word-process your solutions within this template and show all steps used in arriving at the final answers. Incomplete solutions will receive partial credit. Copy and paste all necessary data from Excel into this document and create tables as needed.
Problem 1
Suppose a manufacturing company makes a certain item. The time to produce each item is normally distributed around a mean of 27 minutes with a standard deviation of 2.5 minutes. Thus, the population of production times is normal in shape. Find the mean and standard deviation of the sample.
Problem 2
The average prices for a product in 12stores in a city are shown below.
$2.99, $2.85, $3.25, $3.55, $3.00, $2.99, $2.76, $3.50, $3.20, $2.85, $3.75, $3.85
Test the hypothesis that the average price is higher than $2.87. Use level of significance = 0.05.
Problem 3
A store wishes to predict net profit as a function of sales for the next year.The following table gives the years 1998 to 2005.
Year
Sales
(thousands of dollars)
Net Profit
1998
51
5
1999
55
10.2
2000
65
9.6
2001
82
-3
2002
75
2.8
2003
71
3.2
2004
82
-2.3
2005
81
-2.6
(a) Graph the points from 1998 through 2005on ascatter diagram using Sales as the independent variable and Net Profit as the dependent variable.
(b) Draw the regression line on the graph you constructed in Part (a).
(c) What is the value of the coefficient of determination for this regression model? Comment on the strength of the regression line for this model.
(d) What is the predicted net profit for 2006 if sales are expected to be 125?
Problem 4
Last week’s sales of iMac computers at an Apple Store in Oklahoma City, OK,are shown in the following table:
Day
Sales (Dollars)
1
180
2
150
3
210
4
225
5
195
6
190
7
230
(a) Use the 3-day moving average method for forecasting days 4–7.
(b) Use the 3-day weighted moving average method for forecasting days 4–7. Use Weight 1 day ago = 2, Weight 2 days ago = 4, and Weight 3 days ago = 3.
(c) Compare the techniques using the mean absolute deviation (MAD).
Problem 5
The following table shows six years of average annual cost-of-living index data:
Year
Annual Cost of Living Index
2008
105.8
2009
111.4
2010
121.9
2011
134.3
2012
128.6
2013
125.2
(a) Forecast the average annual food price index for all years from 2008 to 2013. Use a 3-year weighted moving average with weights of 0.5, 0.3, and 0.2. Use the largest weight with the most recent data.
(b) Forecast the average annual food price index using exponential smoothing with α = 0.7 for all years from 2008 to 2014. Use the rate for 2008 as the starting forecast for 2008.
(c) Which of the methods in parts (a) and (b) produces better forecasts for the 3 years from 2011 to 2013? Answer on the basis of mean square error (MAD).
Problem 6
A company manufactures two products, Product A and Product B. The wholesale price and manufacturing cost.
Accounting 97064 paper 4 problem solving (extension topics) may june session ...Alpro
Accounting 97064 paper 4 problem solving (extension topics) may june session 2002
Advanced Level
A Level
Zimsec
Cambridge
Alpro Learning Portal
Accounting
Accounts
Zimbabwe
Principle of accounts
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ISBM EMBA ANSWER SHEETS, ISBM DMS SOLUTIONS - 9901366442 - 9902787224
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WE PROVIDE ISBM CASE STUDY ANSWERS, ASSIGNMENT SOLUTIONS, PROJECT REPORTS AND THESIS
aravind.banakar@gmail.com
http://www.mbacasestudyanswers.com
ARAVIND - 09901366442 – 09902787224
BMS ISBM CASE STUDY ANSWER SHEETS, BMS ISBM CASE STUDY SOLUTIONS
GDM ISBM CASE STUDY ANSWER SHEETS, ISBM CASE STUDY SOLUTIONS
MBA ISBM CASE STUDY ANSWER SHEETS, ISBM MBA CASE STUDY SOLUTIONS
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