: stat
Every student (no exceptions) must write four (4) papers on the implementation of statistical
techniques in a real life problem. Each paper length should be around two pages and students must
select the topic from their current place of work, from their work experience, or from an area of
interest. The selected topic must be a reasonable and appropriate for a typical MBA class. The
instructor must approve the topic.
Each paper must reflect an understanding of the concepts and how a technique is implemented in
real life, and it should not be an attempt to solve a textbook problem so actual numbers are not
important, and no final answer is expected.
The papers are due one week after the subject has been covered in class. Students are encouraged to
submit an early copy to the instructor for comments. Expect a two day turnaround cycle.
Techniques covered in papers must be selected from the following subjects:
• The first covers concepts included in sampling and estimation (required);
Then select three from the following four subjects
• Test of hypothesis concepts and implementation,
• ANOVA,
• Linear Regression,
• Non parametric and Chi square distribution;
these are 4 essaies, each of them need two pages. first topic is required, other three you can choose
from
• ANOVA,
• Linear Regression,
• Non parametric and Chi square distribution;
and i want all of them is relate to real estate
