Analytics Case studies

Practical Business Analytics Using SAS: A Hands-on Guide: (L101)Predictive Modeling Case Study:Customer rete...: Case Study: L101 -Fiber bits Business Objective: “Fiber Bits” is an internet service provider company. They are in the market from las...


Practical Business Analytics Using SAS: A Hands-on Guide: (TH101)Peer Comparison case study - Testing of Hyp...: Business Problem      This is a peer comparison project. Suppose that you are working for Samsunge in customer experience management...


Practical Business Analytics Using SAS: A Hands-on Guide: (T101) Time Series Analysis and Forecasting Case s...: Case Study: T101 Business objective: Analyze the historical stock prices. Build a model on the stock prices. Forecast the future val...

Practical Business Analytics Using SAS: A Hands-on Guide: Understanding ARIMA Using an Eyesight Measurement ...

Practical Business Analytics Using SAS: A Hands-on Guide: Understanding ARIMA Using an Eyesight Measurement ...: I’ll use an analogy related to eyesight measurement and prescription eyeglasses as an example to explain a serious concept. Nowadays there is a lot complicated equipment to measure human eyesight. It is relatively easy to accurately measure eyesight and get the right prescription for eyeglasses. But a few decades back, before today’s sophisticated and computerized eye testing machines, doctors accomplished this task manually. Today, almost everyone who has visited an eye doctor may easily recognize the picture presented in the Figure 12-12. It is known as a Snellen chart (though this name is not as common as the chart itself).....

http://practicalbusinessanalytics.blogspot.in/2015/03/vision-test-snellen-chart-boxjenkins.html

What is Dispersion? An extract from the book "Practical Business Analytics using SAS"

Practical Business Analytics Using SAS: A Hands-on Guide: What is Dispersion? An extract from the book "Prac...:

What is Dispersion

Dispersion is the variation in data—the non uniformity or inconsistency in the values of a variable. The measures of dispersion indicate nothing about the middle value of the data. Rather, they give you an idea about the spread in the data. Dispersion can be measured using Range, Variance and Standard Deviation.

Anderson Wants to Cross a River 

Mr. Anderson, who can’t swim, wants to cross a small waterway. He asked a neighbor to describe the depth of that river, and the neighbor said its depth is 4 feet on average. Mr. Anderson is happy and starts to cross it. His happiness does not last long. The reason is that although the average is 4 feet, the depth at some places might have been 7 feet, which is more than Mr. Anderson’s height. If he had inquired about the deviation from average depth or the inconsistency of depth at various points, or at least the range of depth(minimum and maximum depeth) apart from the average depth of the river, it would have saved Mr. Anderson from drowning.

Therefore, merely knowing the average or the center value may not be sufficient in all cases. The deviation from center (or the dispersion) or the spread of a variable is also important. Given next are a few measures of dispersion.