AI Statistics Solver
From GCSE data handling to A-Level hypothesis testing. Upload any statistics question and receive the complete solution with correct notation and conclusions in context.
Statistics Topics We Solve
Data Presentation & Interpretation
Mean, median, mode, range, interquartile range, variance, and standard deviation calculated from raw data, frequency tables, and grouped frequency tables. The solver shows the correct formulae and substitutions for each measure. It also interprets histograms, cumulative frequency diagrams, box plots, and scatter graphs, reading values from charts when questions require data extraction from visual representations.
Probability
Single event probability, combined events using AND and OR rules, conditional probability, tree diagrams, Venn diagrams, and two-way tables. At A-Level, the solver handles set notation, mutually exclusive and independent events, and conditional probability formulae. Each probability is expressed as a fraction (as preferred by UK mark schemes) with the working clearly shown.
Probability Distributions
Binomial distribution (calculating individual and cumulative probabilities, finding the mean and variance), normal distribution (standardisation using z-scores, finding probabilities, inverse normal problems), and at Further Maths level, the Poisson distribution and continuous random variables. The solver correctly uses distribution tables where appropriate and shows the standardisation formula for normal distribution questions.
Hypothesis Testing
The solver handles hypothesis tests for proportion (binomial), correlation (PMCC), and mean (normal distribution). It follows the complete testing procedure that UK mark schemes require: stating the null and alternative hypotheses using correct notation, identifying the test statistic, calculating or looking up the critical value, comparing values, and writing a conclusion in the context of the original question. This last step, the contextualised conclusion, is where many students lose marks and our solver gets it right every time.
The Large Data Set
For A-Level statistics, examination boards require familiarity with a specific large data set. Our solver is trained on the large data sets used by Edexcel (weather data), AQA (road accidents data), and OCR. It can answer questions that test knowledge of the data set's structure, limitations, and patterns, which frequently appear in Paper 3 of A-Level exams.
GCSE Statistics
At GCSE level, statistics questions focus on calculating averages from tables, reading and interpreting charts, drawing frequency polygons, and basic probability. Our solver handles these questions with the appropriate level of working, showing the calculations that GCSE mark schemes award method marks for without introducing A-Level notation or techniques that would confuse the response.
Explore our other topic solvers: Algebra, Geometry, Calculus.