shea futral
Chaper 1













Home

Chaper 1 | Contact Me





Enter subhead content here
















I- Introduction to Data Analysis and Decision Making



1- Technology makes it possible to:

A- collect huge amount of data

B- give power and responsibility to analyze data and make decisions

2- Use quantitative methods to analyze data



II- Overview of Chapters



1- Methods- to analyze and decide

A- Data Analysis

a-Description

b-Inference

c-Relationship



B- Decision Making

a-Optimization- with no uncertainty

b-Decision Analysis- with uncertainty

c-Sensitivity Analysis



C- Uncertainty- key aspect of business problems

a-Measuring

b-Modeling



C1- Uncertainty and probability relationship

a- Binomial Distribution

b- Normal Distribution

c- Poisson Distribution



C2- Simulation



2- Sampling and Statistical Inference

3- Quality Control

A- Control charts- for checking if a process in control

4- Regression Analysis- study of relations between variables

5- Series Analysis and Forecasting

A- Regression base method--one or more time series variable use

B- Extrapolation base methodhistorical patterns a time series variables

6- Optimization linear programming

A- Build spreadsheet model to relate all relevant quantities.

B- Find Optimal solution

7- Computer Simulation Modelsanalyze business decisions that have some degree of uncertainty





III- The Software

1- Excel- spreadsheet package

2- Solver Add-in

3- StatPro Add-in- easy construction of histograms, scatterplots and time series plots

4- RandFns Add-in

5- Solver Table Add-in

6- Decision Tools Suite

7- @Risk

8- Precision Tree- graphical decision tree

9- TopRank

10- Best Fit

11- Risk Review



IV- Modeling and Models

A- Modelabstraction of a real problem

1-Graphical Models

2-Algebraic Models

3- Spreadsheet Models- relate quantities with algebraic equations with cell formulas

B- Modeling Process

1-Define the problem

2- Collect and summarize data

3- Formulate a model

4- Verify the model

a- Check if model is valid for current situation

b- Enter input parameters and check if outputs are reasonable

5- Select one or more suitable decisions

6- Present the results to the organization

7- Implement model and update it through time
















Enter supporting content here