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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
Average and Types of Averages
Arithmetic Mean
Examples of Arithmetic Mean
Weighted Arithmetic Mean
Merits and Demerits of Arithmetic Mean
Geometric Mean
Properties of Geometric Mean
Merits and Demerits of Geometric Mean
Harmonic Mean
Merits and Demerits of Harmonic Mean
Concept of Mode
Advantages and Disadvantages of Mode
Median
Quartiles
Graphic Location of Median
Deciles and Percentiles
Graphic Location of Mode
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
Skewness
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
Introduction to Probability
Random Experiment
Sample Space
Event of Probability
Equally Likely Outcomes
Mutually Exclusive Events
Not Mutually Exclusive Events
Exhaustive and Complementary Events
Reduced Sample Space
Relative Frequency
Definition of Probability
Subjective Probability
08. Random Variable and Probability Distributions
Generation of Random Numbers
Application of Random Numbers
Examples of Random Numbers
Random Variable
Discrete Random Variable
Continuous Random Variable
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
12. Estimation
Introduction to Estimation
Point Estimation
Maximum Likelihood Estimation
Unbiasedness of an Estimator
Efficiency of an Estimator
Consistent Estimator
Introduction to Interval Estimation
Confidence Interval Estimate of Mean
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
Variable and Attribute
One Attribute
Two Attributes
Positive and Negative Classes
Consistency
Independence of Attributes
Experimental Designs
Introduction to Experimental Designs
Basic Principles of Experimental Designs
Completely Randomized Design
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