Update: 178 new exercises on 34 subjects

At I Hate Statistics, we are constantly adding new material to help statistics students and teachers learn and teach the fundamentals of statistics.

This week we released a new update: 178 new exercises on 34 subjects. 
For now, these subjects come with exercises only. In the future, we might add lessons as well. (if you want though, you can add lessons too!)

Some of the exercises are conceptual in nature. Others require calculations. Where possible, we parametrised the calculation questions. This means students get to use new numbers every time they view the same questions.

Click to see the overview of all our lessons and exercises.


Below a list of the new subjects on which we added exercises:

Probability Basics

Conceptual understanding of random variables
Conceptual understanding of probabilities
Conceptual understanding of sample space
Conceptual understanding of (probability) distributions 
Conceptual understanding of Discrete vs continuous distributions
Conceptual understanding of Probability density function and Cumulative density function

Probability Calculations & Rules
Conceptual understanding of marginal probabilities
Conceptual understanding of joint probabilities 
Conceptual understanding of conditional probabilities
Notation of probabilities
Conceptual understanding of dependent and independent events
Conceptual understanding of probability rules
Computing probabilities using probability rules

Counting and Expected Values
Conceptual understanding of Expected Values
Computing Expected Values 
Conceptual understanding of Combinations
Conceptual understanding of Permutations
Computing Permutations
Computing Combinations

Binomial distribution
Conceptual understanding of Binomial distribution
Notation of Binomial distribution and parameters
Notation of probability density and cumulative density
Conceptual understanding of properties of Binomial distributions
Computing with Binomial distributions

Poisson Distribution
Conceptual understanding of Poisson distribution
Notation of Poisson distribution and parameters
Properties of the Poisson distribution
Computing with Poisson distributions

The Normal Distribution
Conceptual understanding of Normal distribution
Notation of Normal distribution and parameters
Conceptual understanding of Standard Normal distribution
Conceptual understanding of Central Limit Theorem
Conceptual understanding of combining of several normally distributed variables
Computing parameters of combined normally distributed variables


We hope these new exercises will be helpful. 
Please let us know if you have questions or feedback.

Let’s make data and statistics accessible and understandable for everyone!