Enjoy the beautiful applications of statistics in daily life

Bird eye view of statistics, it’s History, Applications, Limitations and Scope

In this module, we will learn the Types of Variables & Data, and how to represent Data in a Tabular Form

This module introduces you to Tally Marks Method, Ungrouped & Grouped Frequency distribution, and Graphical Representation of Data

This module explains the concepts of Mean, Median & Mode of Ungrouped and Grouped Data; Finding the Missing Frequencies of Mean, Median and Mode; Properties, Merits & Demerits of Mean, Median and Mode; The Empirical Relation

In this module, you will learn Range; Mean Deviation; Standard Deviation (SD) of Ungrouped & Grouped Data; Properties of SD and Variance; Merits and Demerits of Dispersion, Coefficient of Variation (CoF)

This module includes First, Second and Third Quartiles of Ungrouped & Grouped Data; Inter-Quartiles Range; Box-and-Whisker Plot; Merits & Demerits of Quartiles

This module covers Moments & Moments about Mean; First Moment – Mean; Second Moments – Variance; Third Moments – Skewness; Fourth Moments – kurtosis and r-th Moment; Moments about Arbitrary Point; Moments about Zero or Raw Moments; Skewness; Gamma Coefficients; kurtosis and it's Type.

This module explains, Overview of Curve Fitting & to fit best line in a data set by applying the Principle of Least Squares

In this module you will learn, Introduction to Simple Regression & Simple Correlation; Scatter Diagram; Coefficient of Correlation; Regression; Rank Correlation; Properties of Regression and Correlation

This section shows you as to how you can perform different Statistical Functions in a spreadsheet

This module is based on the Overview of Sampling; Some Basic Concepts; Types of Sampling - Probability and Non-probability; Parameters and Statistic; Sampling Error; Accuracy and Precision; Sampling Distribution; Shape of the Sampling Distribution; Sampling Distribution of a Statistic; Sampling Distribution of Sample Mean; Standard Errors of Sample Mean; Sample Variance and Sample Proportion; solved problem on Sampling distribution with Replacement and Without Replacement and Standard error.

This module provides you the Introduction to Estimation; Point and Interval Estimation; Types of Estimator; Standard Normal Distribution and it's Confidence Interval; Solved example on Standard Error using Confidence Interval; t - Distribution and it's Confidence Interval; Chi - square Distribution and it's Confidence Interval; F - Distribution and it's Confidence Interval.

This module discusses, Introduction to Hypothesis Testing - Null and Alternative Hypothesis; Level of Significance; Type I and Type II Error, p-value and Critical Region errors; Solved problem on Standard Normal Distribution, t - distribution, Chi - square distribution and F - distribution.