Welcome to the
platform enabling social change & impact
Statistics for Social Good
Statistics for Social Good is structured to impart knowledge on the basics of statistics that will be useful in understanding tools in impact evaluation, for example, regression analysis. The series includes educational videos on data sampling and inference, confidence interval, hypothesis testing where the population is both known and unknown, proportions etc. The course is designed and taught by Nishant Malhotra for under and post graduate students, CFA, FRM, Insurance and other certifications. Working professional will especially love the course.
Module 3 includes a brief overview of random sampling and introduces the concept of confidence interval. The sampling concept is important to understand the distinction between population and sample statistic.…