Shree GaneshA Statistics

📖 Exploring the Power of Statistics: The discipline of statistics deals with the gathering, organising, analysis, interpretation, presentation, and modelling of data. We may obtain insights, make wise judgements, and derive meaningful conclusions from data thanks to its systematic approach to comprehending and making sense of numerical data. Statisticians use mathematical and statistical principles to analyse data in order to extract relevant information and spot patterns and relationships. By utilising a number of techniques and methods, statistics assists in the summary, description, and analysis of massive data sets, ultimately leading to the generation of knowledge and practical insights. Statistics appears as the key that unlocked the actual potential of data in an age marked by an abundance of data. The collection, analysis, interpretation, presentation, and organisation of numerical data are all covered under the field of statistics. It provides people and organisations with th

  📊National Statistics Day Celebration! :Unlocking the Power of Data 💹 🌹🌹  We come together today to recognize the significance of data and how it has impacted our lives in observance of National Statistics Day. Let's embrace the essential role that statistics play in influencing our world as we explore into the world of numbers, charts, and trends. Every year on June 29, National Statistics Day is observed to recognize the late Professor Prasanta Chandra Mahalanobis' exceptional contributions to the field of statistics. His pioneering work in the field of statistics has revolutionized how people interpret and analyse data worldwide in addition to advancing India's statistical system. The fundamental tenet of National Statistics Day is a straightforward but profound notion: knowledge obtained from precise, trustworthy, and thorough statistics has the ability to advance science, guide public policy, and transform civilizations. Our economy, social structure, and envi

Changing Color Blog Name  Measures of Central Tendency  I. Introduction. II. Requirements of good measures. III. Mean Definition. IV . Properties  V. Merits and Demerits. VI. Examples VII.  Weighted Arithmetic Mean VIII. Median IX. Quartiles I. Introduction Everybody is familiar with the word Average. and everybody are used the word average in daily life as, average marks, average of bike, average speed etc. In real life the average is used to represent the whole data, or it is a single figure is represent the whole data. the average value is lies around the centre of the data. consider the example if we are interested to measure the height of the all student and remember the heights of all student, in that case there are 2700 students then it is not possible to remember the all 2700 students height so we find out the one value that represent the height of the all 2700 students in college. therefore the single value represent the whole data and