Course Syllabus
Descriptive Statistics
Frequency Distribution
Measures of Central Tendency: Calculation on Mean, Median and Mode (ungrouped and group data)
Measures of Dispersion (or Variability): Calculation of standard deviation
Measures of Dispersion (or Variability): Skewness and its coefficient
Measures of Dispersion (or Variability): Coefficient of variation
Probability
Concepts of Probability:
Sample Space,Simple event,Disjoint Event or Mutually Exclusive Event, Law of Additional and
Multiplication, Independent Events, Joint Probability, Conditional Probability
Probability Tree Diagram and Bayes' Theorem
Counting: Arrangement,Permutation and Combination
Discrete Random Variables
Classification of a Discrete Random Variables
Probability Distribution of a Discrete Random Variable
Expectation of a Discrete Random Variable
Variance of a Discrete Random Variable
Continuous Random Variables
Classification of a Continuous Random Variables
Probability Distribution of a Continuous Random Variable
Expectation of a Continuous Random Variable
Variance of a Continuous Random Variable
Special Discrete Distributions
Bernoulli Distribution and Binomial Distribution: Binomial Probability Distribution, Mean and Variance of a Binomial
Distribution.
Poisson Distribution: Poisson Probability Distribution, Mean and Variance of a Poisson Distribution.
Poisson Distribution as an approximation to the Binomial Distribution.
Normal Distributions
Characteristics of a Normal Probability Distribution
The Standard Normal Probability Distribution
Application of the Standard Normal Distribution
Areas Under the Normal Curve
Normal Distribution as an approximation to the Binomial Distribution.
Frequency Distribution
Measures of Central Tendency: Calculation on Mean, Median and Mode (ungrouped and group data)
Measures of Dispersion (or Variability): Calculation of standard deviation
Measures of Dispersion (or Variability): Skewness and its coefficient
Measures of Dispersion (or Variability): Coefficient of variation
Probability
Concepts of Probability:
Sample Space,Simple event,Disjoint Event or Mutually Exclusive Event, Law of Additional and
Multiplication, Independent Events, Joint Probability, Conditional Probability
Probability Tree Diagram and Bayes' Theorem
Counting: Arrangement,Permutation and Combination
Discrete Random Variables
Classification of a Discrete Random Variables
Probability Distribution of a Discrete Random Variable
Expectation of a Discrete Random Variable
Variance of a Discrete Random Variable
Continuous Random Variables
Classification of a Continuous Random Variables
Probability Distribution of a Continuous Random Variable
Expectation of a Continuous Random Variable
Variance of a Continuous Random Variable
Special Discrete Distributions
Bernoulli Distribution and Binomial Distribution: Binomial Probability Distribution, Mean and Variance of a Binomial
Distribution.
Poisson Distribution: Poisson Probability Distribution, Mean and Variance of a Poisson Distribution.
Poisson Distribution as an approximation to the Binomial Distribution.
Normal Distributions
Characteristics of a Normal Probability Distribution
The Standard Normal Probability Distribution
Application of the Standard Normal Distribution
Areas Under the Normal Curve
Normal Distribution as an approximation to the Binomial Distribution.
Frequently Asked Questions
Q1 : What is probability?
A1 : Probability is the likelihood or chance of an event occurring.
A1 : Probability is the likelihood or chance of an event occurring.