Statistics for Buiness Intelligence – Chi Square Tests

Chi square tests, namely chi-square goodness of fit test and chi-square test of independence, are used to analyse data that are a frequency distribution of discrete variables. Consider for example, a wine cellar that has four different categories of wine, a frequency distribution of the four varieties of wine can be analysed by such tests.Chi-Square … Read more

statistics for business intelligence – ANOVA

Design of experiments : An experimental design is used to test a hypothesis by modifying one or more variables. The variables may be dependent or independent. Independent variables may be a treatment variable (can be modified) or classification variable (characteristic of the experimental factors, present prior to the experiment and is not modified during the … Read more

Statistics for Business Intelligence – Hypothesis testing

Hypothesis is defined in as ‘a proposition assumed as a premise in an argument’. This post explores the various kinds of hypothesis in statistics and methods to test them. Research hypothesis : A statement that is considered the outcome of an experiment or test, before the experiment is undertaken.Statistical hypothesis : This is used … Read more

Statistics for Business Intelligence – Sampling

It is necessary to understand sampling techniques before data for a sample is gathered for analysis. Some of the terms that are important arePopulation – This is the complete set under consideration. For example a survey of food choices for a country might consider all citizens of the country.Frame – frame is the population where … 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