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Description: Statistics is the study of data analysis; there are two kinds of statistics descriptive and inferential. Graphs and charts, averages, dispersion of data, probability and its distributions etc.
Topics for "Basic Statistics"

01. Introduction to Statistics

History of Statistics
Meanings of Statistics
Kinds or Branches Statistics
Definition of Statistics
Characteristics of Statistics
Limitations of Statistics
Functions or Uses of Statistics
Importance of Statistics in Different Fields
Some Basic Definitions in Statistics
Collection of Statistical Data

02. Presentation of Data

Classification of Data
Tabulation of Data
Construction of Statistical Table
Difference Between Classification and Tabulation
Frequency Distribution
Construction of Frequency Distribution
Example Construction of Frequency Distribution
Frequency Distribution of Discrete Data
Cumulative Frequency Distribution
Diagrams and Graphs of Statistical Data
Simple Bar Chart
Multiple Bar Chart
Component Bar Chart
Percentage Component Bar Chart
Pie Chart

03. Measures of Central Tendency

04. Measures of Dispersion

Introduction to Measure of Dispersion
Measures of Dispersion
Range and Coefficient of Range
Quartile Deviation and its Coefficient
Mean Deviation and its Coefficient
Standard Deviation
Examples of Standard Deviation
Coefficient of Standard Deviation and Variation
Uses of Coefficient of Variation
The Variance
Sheppard Corrections and Corrected Coefficient of Variation
Combined Variance

05. Index Numbers

Index Numbers and Types of Index Numbers
Uses of Index Numbers
Limitations of Index Numbers
Construct Price Index Numbers
Fixed Base Method
Chain Base Method
Unweighted Index Numbers
Weighted Index Numbers
Wholesale Price Index Numbers
Consumer Price Index Numbers
Methods of Consumer Price Index Numbers

06. Regression and Correlation

Introduction to Regression and Correlation
Linear Model
Non Linear Model
Cause and Effect Relation
Scatter Diagram
Correlation
Linear and Non Linear Correlation
Positive and Negative Correlation
Perfect Correlation
Coefficient of Correlation
Properties of Coefficient of Correlation
Examples of Correlation
Curve Fitting and Method of Least Squares
Example Method of Least Squares
Linear Regression
Properties of the Regression Line

07. Probability

08. Random Variable and Probability Distributions

11. Sampling and Sampling Distributions

Introduction to Sampling
Finite and Infinite Population
Sampling Fraction
Complete Count and Population Census
Sample Survey and Advantages of Sampling
Limitations of Sampling
Sample Design and Sampling Frame
Equal Probability and Nonzero Probability
Probability and Nonprobability Sampling
Sampling With Replacement
Sampling Without Replacement
Simple Random Sampling
Sampling Errors
Non Sampling Errors
Sampling Distribution
Examples of Sampling Distribution

13. Statistical Inference Testing of Hypothesis

Statistical Inference
Statistical Hypothesis
Null Hypothesis
Alternative Hypothesis
Accept and Reject Null Hypothesis
Simple Hypothesis and Composite Hypothesis
Test Statistic
Acceptance and Rejection Regions
Two Tailed Test
One Tailed Test
Type 1 Error and Type 2 Error

Association

Experimental Designs

Introduction to Experimental Designs
Basic Principles of Experimental Designs
Completely Randomized Design