In this follow-up to the problem Odds and Evens, we invite you to analyse a probability situation in order to find the general solution for a fair game.

Simple models which help us to investigate how epidemics grow and die out.

Think that a coin toss is 50-50 heads or tails? Read on to appreciate the ever-changing and random nature of the world in which we live.

Use the computer to model an epidemic. Try out public health policies to control the spread of the epidemic, to minimise the number of sick days and deaths.

When five dice are rolled together which do you expect to see more often, no sixes or all sixes ?

This set of resources for teachers offers interactive environments to support probability work at Key Stage 4.

You and I play a game involving successive throws of a fair coin. Suppose I pick HH and you pick TH. The coin is thrown repeatedly until we see either two heads in a row (I win) or a tail followed by. . . .

Investigations and activities for you to enjoy on pattern in nature.

If everyone in your class picked a number from 1 to 225, do you think any two people would pick the same number?

A gambler bets half the money in his pocket on the toss of a coin, winning an equal amount for a head and losing his money if the result is a tail. After 2n plays he has won exactly n times. Has. . . .

Can you work out the probability of winning the Mathsland National Lottery? Try our simulator to test out your ideas.

All you need for this game is a pack of cards. While you play the game, think about strategies that will increase your chances of winning.

Engage in a little mathematical detective work to see if you can spot the fakes.

Imagine a room full of people who keep flipping coins until they get a tail. Will anyone get six heads in a row?

This article, for students and teachers, is mainly about probability, the mathematical way of looking at random chance.

A maths-based Football World Cup simulation for teachers and students to use.

A simple spinner that is equally likely to land on Red or Black. Useful if tossing a coin, dropping it, and rummaging about on the floor have lost their appeal. Needs a modern browser; if IE then at. . . .

When two closely matched teams play each other, what is the most likely result?

Move your counters through this snake of cards and see how far you can go. Are you surprised by where you end up?

Use this animation to experiment with lotteries. Choose how many balls to match, how many are in the carousel, and how many draws to make at once.

This interactivity invites you to make conjectures and explore probabilities of outcomes related to two independent events.

Can you generate a set of random results? Can you fool the random simulator?

This article, for students and teachers, is mainly about probability, the mathematical way of looking at random chance and is a shorter version of Taking Chances Extended.

A counter is placed in the bottom right hand corner of a grid. You toss a coin and move the star according to the following rules: ... What is the probability that you end up in the top left-hand. . . .

This package contains environments that offer students the opportunity to move beyond an intuitive understanding of probability. The problems at the start will suit relative beginners to the topic;. . . .

Is this a fair game? How many ways are there of creating a fair game by adding odd and even numbers?

Can you beat Piggy in this simple dice game? Can you figure out Piggy's strategy, and is there a better one?

7 balls are shaken in a container. You win if the two blue balls touch. What is the probability of winning?

This is a game for two players. You will need some small-square grid paper, a die and two felt-tip pens or highlighters. Players take turns to roll the die, then move that number of squares in. . . .

Can you work out which spinners were used to generate the frequency charts?

Six balls of various colours are randomly shaken into a trianglular arrangement. What is the probability of having at least one red in the corner?

Identical discs are flipped in the air. You win if all of the faces show the same colour. Can you calculate the probability of winning with n discs?

Which of these ideas about randomness are actually correct?