Master the Fundamentals of Probability and Statistics

Master the Fundamentals of Probability and Statistics

What you'll learn:
Permutations and Combinations
Conditional Probability
Bayes' Theorem
Discrete Random Variables
Continuous Random Variables
Binomial Distribution
Geometric Distribution
Negative Binomial Distribution
Poisson Distribution
Normal Distribution
Sampling
Confidence Intervals
Hypothesis Testing
Correlations and Regression

Requirements:
Basic probability concepts learnt at middle school/secondary school level

Description:
Dear students,
Welcome to this course "Master the Fundamentals of Probability and Statistics"!
This course is designed specially for students who are: doing college-level probability and statistics, taking their IGCSE/GCE A level, the IB HL Math examinations or simply anyone who is interested to learn the basics of probability and statistics.
At the end of the course, and depending on which exams you are taking, you will learn most/all of the following:
Permutations and Combinations
Classical Probability and Conditional Probability
Discrete Random Variables
Binomial Distribution, Poisson Distribution, Geometric Distribution and Negative Binomial Distribution
Continuous Random Variables
Cumulative Density Functions
Normal Distributions
Sampling, Central Limit Theorem and Estimation Theories
Hypothesis Testing
Confidence Intervals
Correlations and Regression
Along the way, there will be quizzes and practice questions for you to get familiarized with the concepts. There may also have bonus lectures which will further enhance your understanding of the topics. If you encounter any problems, please do not hesitate to contact me for more clarifications.
I hope that you will find this course useful in your academic and professional pursuit. Enjoy the course! Cheers! ;-)
Dr Ling, PhD

Who this course is for:
GCE/IGCSE 'A' Levels students
IB Diploma students
Undergraduate students who need a revision of probability and statistics
Working professionals who need a revision of probability and statistics for their work

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