## Statistics for Business Intelligence – Distribution

Discrete variables – Discrete variable take a set of values. for example, type of card drawn from a pack of cards can take any of the four values: hearts, spades, clubs or diamonds.Continuous values – These can take any values within a specified range. For example height of students in a class can take any … Read more

## Statistics for Business Intelligence – Shape

In this post i will discuss the measures of shape used for statistical analysis, specifically skewness and kurtosis. I will also discuss the box and whisker plot. Skewness – A normal distribution is a bell curve that is perfectly symmetric. perfect symmetry implies that the values are distributed equally around the center. a graph is … Read more

## Statistics for Business Intelligence – Descriptive Statistics

In this post we look at descriptive statistics as a means for data exploration. Descriptive analysis refers to a group of methods that gives summary information about the data. For example consider the sales figures for a retail clothes outlet. An important figure would be the average of sales for a particular day of the … Read more

## Statistics for Business Intelligence – Introduction

An understanding of Statistics is imperative before delving into the tools and methods of business intelligence and analysis. We will spend some time on understanding the basics of Statistics for data analysis and in subsequent posts try to give more detailed explanation of the various methods involved.Statistics for data analysis can be broadly divided into … Read more