资料分析Data Analysis assignmentIntroductionIn today’s global business and economic environment,anyone can access vast amounts of statistical information.The most successful retail managers and decision makers understand the information and how

资料分析Data Analysis assignmentIntroductionIn today’s global business and economic environment,anyone can access vast amounts of statistical information.The most successful retail managers and decision makers understand the information and how
资料分析Data Analysis assignment
Introduction
In today’s global business and economic environment,anyone can access vast amounts of statistical information.The most successful retail managers and decision makers understand the information and how to use it effectively.
Part A
Written assignment – 100%
Instructions
Prepared a data analysis report of about 1,500 words (plus/minus 150 words) showing the applications of statistics one the following:
A,accounting
B,economics
C,education
D,engineering
E,finance
F,human resources
G,information technology
H,management
I,marketing
J,media and advertising
K,medicine
L,production
M,telecommunications
N,transportation
You should provide examples to illustrate the uses of statistics on the given applications
You should gather relevant examples through data gathering methods and techniques and techniques ( eg .Surveys and questionnaires,interviews,site visits and program observation,etc).You may also state examples form any sources of reference or information where appropriate (eg.Quality journals,research,conference papers,books,newspapers) to support your assignment.
Your report should be structured in paragraphs with appropriate headings and subheading and presented in a clear and logical manner.
Suitable conclusion for each section should be drawn to illustrate understanding of preceding arguments.
Harvard referencing system MUST be used in the report with a reference list at the end of this report.
求专家给一条明确的思路...
应该选哪个比较简单.因为是毕业最后一份所以会比较严格.

资料分析Data Analysis assignmentIntroductionIn today’s global business and economic environment,anyone can access vast amounts of statistical information.The most successful retail managers and decision makers understand the information and how
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