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Statistics Practice: Probability and Random Variables
Rating: 4.5 out of 5(73 ratings)
2,576 students
Created byShubham Kalra
Last updated 7/2023
English

What you'll learn

  • Practice questions from Permutations and Combinations, Probability, Discrete and Continuous Random Variables
  • Understand the step by step approach to solve statistics questions
  • Feel more confident in solving Statistics Questions
  • Avoid silly mistakes in your Statistics exam

Course content

14 sections101 lectures12h 37m total length
  • Always start with the condition, if any!7:02
  • What if there are 2 conditions?11:19
  • Make sure you see the hidden condition!2:10
  • Anagrams7:01
  • 3 Methods to Solve a Permutation Question7:25
  • 3 Methods to Solve a Combination Question10:47
  • Restricted Permutations (Always Together - 2 elements)6:54
  • Restricted Permutations (Never Together - 2 elements)9:18
  • Restricted Permutations (Always Together - 3 elements)2:46
  • Restricted Permutations (Never Together - 3 elements)8:12
  • Consecutive Repetition not allowed4:25
  • Share your experience0:29

Requirements

  • Basic knowledge of the concepts covered in this course

Description

This course is the key to learn how to crack statistics questions. It has students from over 100 countries and here is what some of them have to say about this Statistics course:

I already knew the basics of these concepts but I was struggling with the questions. This course has very well explained solutions - Ananya Nath

This is my third course with this instructor. He saved my Statistics exam. Big thank you! - Vidit Kumar

Well explained, step by step - Francisco Sanchez


The sole purpose of this course is to make you feel more confident in solving statistics questions by showing you the approaches involved in a simple and step by step manner. 

This statistics course has step by step solutions to help you get into the flow of cracking statistics questions related to the following concepts:

  • Basics of Permutations and Combinations

  • Probability (Sample space and events)

  • Probability (Axioms and Properties)

  • Conditional Probability and Bayes' Theorem

  • Probability: Independent Events

  • Probability Distributions for Discrete Random Variables

  • Expected Values for Discrete Random Variables

  • The Binomial Probability Distribution

  • Probability Density Function for Continuous Random Variables

  • Cumulative Distribution Functions and Expected Values for Continuous Random Variables

  • Uniform Distribution

  • Normal Distribution

This course is apt for students who already have basic understanding of these topics and are looking for some solved questions to practice along and to fill in the understanding gaps.


All that said, if you would like to discuss something while you are learning, please feel free to start a discussion or PM me. I would be happy to help.

Who this course is for:

  • Students, who are new to statistics and want to learn in a simple and step by step manner
  • Students, who are struggling with Statistics and need some solved questions to practice along
  • Students, who would like to learn the approach of solving statistics questions to feel more confident in their Statistics exam