Measures of dispersion is second important topic after Measures of Central Tendency in Statistics. In this article, we are going to discuss Measures of Dispersion, Absolute Measures of Dispersion, Relative Measures of Dispersion, theoretically and numerically with the help of formulas and solved example questions for better understanding for both ungrouped and grouped data.
In this blog post, I am going to discuss the paper of Business Statistics Solved Paper FBISE 2013 ICOM II, MCQS, Short Questions, Extensive Questions topics included are Introduction to Statistics, Averages, Index Numbers, Probability.
In this post, I am going to solve paper of Business Statistics 2012 for ICOM II FBISE in which MCQS, short questions and extensive questions of the topics of Introduction to Statistics, Averages, Index Numbers and Probability is discussed and solved
Measures of Central Tendency or averages of first order such as Arithmetic Mean, Median, Mode, Harmonic Mean & Geometric Mean. Measures of central tendency calculate the most central value of the data. To know the central value within the distribution of data, there are three methods to calculate it arithmetic mean, median and mode. Besides this, there are two other average Geometric mean which is used for geometric calculations such as index numbers, and Harmonic Mean which is used for rates and ratio purposes used by financial institutions.
1. Measures of Central Tendency, Arithmetic Mean, Median, Mode, Harmonic, Geometric Mean Read More »
Statistics is a branch of applied mathematics.
It deals with data e.g. collection of data, organization of the data, interpretation or analysis of the data and presentation of the data.
Mainly it deals with quantitative analysis of the data and rarely touches qualitative aspect of the data.
It is the science of getting average and probability but overall field of statistical analysis is so vast.
1. Introduction to Statistics Basic Important Concepts Read More »
In this post, we are going to discuss correlation coefficient, types, properties, importance and important formulas for Correlation Coefficient and also cover correlation coefficient with theoretical perspective.
