Course Overview

Course Synopsis

Starting with the basic concepts of data and its types, the course Sta301 introduces the various methods and procedures of collecting, organizing, summarizing, presenting and analyzing the data. The regression and correlation analysis is used to evaluate the relationship between two or more variables.
The second portion of the course focuses on the probability theory. From the basic probability rules to the construction of all the wellknown probability distributions like binomial, hypergeometric, uniform and normal distributions are discussed in this part.
The course will finally introduce the inferential statistics which is further divided into estimation and hypothesis testing. It deals with the drawing of conclusions about various phenomena on the basis of real data collected on sample basis. The use of appropriate methods like Ztest, Ttest, Ftest, Chisquare test and ANOVA are explained with examples.

Course Learning Outcomes

At the end of the course, you should be able to understand:
 Different meanings of statistics and data types
 A variety of methods for collecting, presenting and summarizing data
 Methodologies for regression and correlation analysis for future perditions
 Basic concepts and rules of probability along with important probability distributions
 Sampling concept, its types and techniques
 Estimating and hypothesis testing using main distributions
 Usage of Analysisofvariance and experimental design
 Fundamental level of skills for basic statistical computing using Calculator / Excel / Math type etc.
 How to communicate to others the importance and relevance of statistics in the modern world
 How to be an independent learner, able to acquire further knowledge with little guidance or support.

Course Calendar

Introduction to Statistics and Data collection  1,2,3  Video Lectures   Frequency Distribution and Frequency Curves  4,5  Video Lectures   Measures of Central Tendency  6,7,8,9  Video Lectures   Measure of Dispersion  10,11,12,13,14  Video Lectures   Regression and Correlation  15  Video Lectures   Basic Probability  16,17,18  Video Lectures   Probability  19,20,21,22  Video Lectures   Random Variable  23,24,25,26    Discrete Probability Distributions  27,28,29  Video Lectures   Normal Distribution  30  Video Lectures   Samping Distribution of Mean and Proportions  31,32  Video Lectures   Method of Estimation and Confidence Interval  33,34,35  Video Lectures   Hypothesis Testing  36,37,38  Video Lectures   Hypothesis Testing  39,40    Hypothesis Testing  41,42    Analysis of Variance and Experimental Design  43,44,45  Video Lectures  



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