Stats & Probability
In this topic, we will look at
Different forms of data presentations and graphs- Statistical measures
- Linear Correlation
- Probability and Compound Events
- Conditional Probability
- Discrete Random Variables
- Binomial Distribution
- Continuous Random Variables
- Normal Distribution
On each page, you will find
- Video tutorials explaining key concepts.
- Concise revision notes providing you with reminders of all the key content you need
- Onscreen quizzes giving you instant feedback
- Exam style questions with hints, detailed solutions and explanation
Representing and Measuring Data
This page deals with one-variable statistics. You need to know how to represent the data in tables and diagrams (histograms, cumulative frequency graphs and box-and-whisker diagrams), as well as measure...
Linear Correlation
This page is all about looking for correlations in bivariate data, to see whether there is a relationship between the x- and y-variables. You will learn how to calculate r, Pearson’s...
Probability Calculations
This page is designed to help you with the basics of probability. You will learn how to list outcomes, use Venn diagrams and use probability trees. You will also find out about mutually exclusive events...
Conditional Probability
You may well have tried the Monty Hall problem, a question based on the game show 'Let's Make a Deal'. In the game show, extra information is given about the whereabouts of a prize. If you use this...
Discrete Random Variables
On this page we will explore the concept of discrete random variables and their probability distributions. We will look at how we can display probability distributions in tables or as functions. The...
Binomial Distribution
The binomial distribution is an example of a discrete random variable. It has two parameters: n, the number of trials, and p, the probability of success on one trial. We write this as X\sim B(n,p)....
Continuous Random Variables HL
A random variable is continuous if it can take any value in an interval. Calculations with continuous random variables often involve quantities such as heights or times; in other words, quantities that...
Normal Distribution
The normal distribution is an extremely useful statistical distribution. Data for heights and weights of adults and objects produced by machines, for example, tend to follow the normal (bell-shaped)...
Navigating the pages
Each of the topic pages is designed in the same way:
Had an explanation in class that you didn't quite understand? The short, high quality videos in this section will help you understand all the key concepts from each topic. Some are designed to explain concepts from the beginning and others are focussed on very specific skills and typical exam questions. All videos come with a set of notes that you can keep.
This section is all about getting practice. Before you try any exam-style questions, you will need a quick check to see if you have understood all the concepts from the page. These onscreen quizzes allow you to get just that. You can get instant feedback on your answers including advice about how to tackle the question and worked solutions.
This is the section where you can practise questions just like you the ones that you will get in the exam. If you need some help getting started, there are hints. Each question has a full solution with explanation
Each of the questions is marked by difficulty level
Easy
Medium
Hard