Maths A-Level Resources for AQA, OCR and Edexcel
Everything you need to study for and pass your A-Level Maths exams. Save countless hours of time!
A-Level Maths revision guides are exactly what you need to confidently study (or teach!) A-level Maths for AQA, Edexcel, OCR, and CIE examination boards.
We cover Pure Mathematics, Probability & Statistics, and Mechanics in detail across 52 chapters.
Download five full chapters for FREE, which include:
We’ve created 52 modules covering every Maths topic needed for A level, and each module contains:
As a premium member, once rolled out you get access to the entire library of A-Level Maths resources. For now, we have made the first five topics completely free of charge for you to get a taste of what’s to come.
Once completed our modules can be used with both UK and international A Level examination board specifications.
We will put together comprehensive mapping documents which will show you exactly which modules align to the specification you are teaching or learning.
Summary Formula for correlation r >0 positive correlation r <0 negative correlation r =0 no/zero correlation r =+1 r = -1 perfect positive and negative correlation respectively A good relation between the variables means that the line of best fit will pass through maximum points The interdependence of the two variables is known as as … Read more
Summary The probability function of the poisson distribution is Both the mean and variance the same in poisson distribution. When calculating poisson distribution the first thing that we have to keep in mind is the if the random variable is a discrete variable. If however, your variable is a continuous variable e.g it ranges from … Read more
Summary The normal distribution has a bell shaped curve It is symmetric about the mean Each normal distribution is affected by the either the mean() or standard deviation() The total area under the normal curve is equal to 1 To find the normal distribution we use the following formula: The normal distribution is a theoretical … Read more
Summary The geometric distribution has a single parameter (p) = X ~ Geo(p) Geometric distribution can be written as , where q = 1 – p The mean of the geometric distribution is: The variance of the geometric distribution is: The standard deviation of the geometric distribution is: The geometric distribution are the trails needed … Read more
Summary The values of a discrete random variable are obtained by counting, thus making it known as countable Uniform distribution simply means that when all of the random variable occur with equal probability A random variable with probability density function is the expectation and variance of the data we use the following formulas You must … Read more
Summary The Central Limit Theorem (CLT) basically tells us that the sampling distribution of the sample mean is, at least approximately, normally distributed The Central Limit Theorem is exactly what the shape of the distribution of means will be when repeated samples from a given population are drawn As the sample size increases, the sampling … Read more