This course will introduce you to business statistics, or the application of statistics in the workplace. Statistics is a course in the methods for gathering, analyzing, and interpreting data. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions.INTENDED AUDIENCE : Students of B.Tech. M.Tech, PhD and working professionalsPREREQUISITES : NoneINDUSTRY SUPPORT : None
Overview
Syllabus
Week 1 : Introduction, data collection and presenting data in tablesWeek 2 : Numerical descriptive measures and basic probabilityWeek 3 : Discrete and continuous probability distributionsWeek 4 : Sampling and sampling distributionsWeek 5 : Confidence interval estimationWeek 6 : One sample tests and hypothesis testingWeek 7 : Two sample tests meansWeek 8 : Two sample tests proportions and varianceWeek 9 : ANOVAWeek 10 : Chi-Square testsWeek 11 : Simple linear regressionWeek 12 : Multiple regression basics
Taught by
Prof. Mukesh Kumar Barua
