Business Analysis Predictive Analytics Testing 
Smarten
JUNE 29, 2018
This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., is the same in two related groups.
Smarten
JUNE 29, 2018
To better understand multiple linear regression, let’s look at one such analysis of independent variables: Temperature and Humidity, and a target variable (yield). How Can Multiple Linear Regression Be Helpful for Business Analysis? Use Case – 1.
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Smarten
JUNE 29, 2018
How is Spearman’s Rank Correlation Useful for Business Analysis? Business Problem: An educational organization wants to assess students’ rating, based on two different sources of observation. The closer this value is to 0, the weaker the relationship/association is between both variables. Use Case – 1.
Smarten
JUNE 26, 2018
This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? This technique is used to determine if the relationship exists between any two business parameters that are of categorical data type. Use Case – 1.
Smarten
JUNE 29, 2018
How Does Frequent Pattern Mining Support Business Analysis? This method of analysis can be useful in evaluating data for various business functions and industries. Basket Data Analysis – To analyze the association of purchased items in a single basket or single purchase. Confidence (milk->bread) = 0.5
Occam's Razor
FEBRUARY 7, 2011
For help with identifying opportunities and how to do business analysis please see this post: The Beginner's Guide to Advanced Web Data Analysis. By doing multichannel analytics! The latter, except in rare cases, is hard to do predictive analytics on unless you are a stagnant business.
Smarten
JULY 10, 2018
This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Average value of all cars in U.S.
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