ICT Corner Expected Result is shown in this picture GLOSSARY (கலைச்சொற்கள்) bell shaped curve மணி வடிவ வளைவரை Binomial ஈருறுப்பு continuous distribution தEொடாச்சியான பரவல் discrete distribution தனிநிலைப் பரவல் / தனித்த பரவல் Distribution பரவல் Independent சார்பற்ற Normal இயல்நிலை parameter பண்பளவை point of inflexion வளைவு மாற்றுப்புள்ளி random experiment சமவாய்ப்பு சோதனை Random variable இயைபிலா மாறி / சமவாய்ப்பு மாறி Sample space கூறுவெளி Skewness க>ோட்ட அளவை Standard deviation திட்ட விலக்கம் Symmetry சமச்சீர் XII Std - Business Maths & Stat EM Chapter - - Sampling Techniques and Statistical Inference Introduction andurang Vasudeo Sukhatme ( – ) was an award-winning Indian statistician. He is known for his pioneering work of applying random sampling methods in agricultural statistics and in biometry, in the 1940s. He was also influential in the establishment of the Indian Agricultural Statistics Research Institute. As a part of his work at the Food and Agriculture Organization in Rome, he developed statistical models for assessing the dimensions of hunger and future food supplies for the world.
He also developed methods for measuring the size and nature of the protein gap. In any statistical investigation, the interest lies in the assessment of one or more characteristics relating to the individuals belonging to a group. When all the individuals present in the study are investigated, it is called complete enumeration, but in practice, it is very difficult to investigate all the individuals present in the study. So the technique of sampling is done which states that a part of the individuals are selected for the study and the assessment is made from the selected group of individuals.
For example (i) A housewife tastes a spoonful whatever she cooks to check whether it tastes good or not. (ii) A few drops of our blood are tested to check about the presence or absence of a disease. (iii) A grain merchant takes out a handful of grains to get an idea about the quality of the whole consignment. These are typical examples where decision making is done on the basis of sample information.
So sampling is the process of choosing a representative sample from a given population.