GCSE Statistics (Edexcel)

28 free revision lessons in 5 units. Open the course or go straight to a lesson.

Planning & Designing a Statistical Enquiry

How statisticians turn a question into a workable investigation: hypotheses, variables, data sources, sampling and questionnaire design.

1. Hypotheses, Questions and Investigation Constraints
2. Types of Data and Variables
3. Primary and Secondary Data Sources
4. Sampling Methods and Stratification
5. Questionnaires, Pilot Studies and Cleaning Data

Interpreting Results & The Statistical Enquiry Cycle

Reading the story in the numbers: causation, skew, outliers, index numbers, trends, and how the full enquiry cycle ties an investigation together.

1. Correlation, Causation and the Vocabulary of Association
2. Reading Skew, Outliers and Distributions
3. Time Series, Index Numbers and Rates of Change
4. The Statistical Enquiry Cycle: Reviewing the Whole Investigation

Representing & Processing Data

Drill the diagrams: tally, bar, pie, stem-and-leaf, histograms, cumulative frequency, box plots, frequency polygons, scatter, population pyramids and choropleth maps.

1. Tally Charts, Tabulation and Pictograms
2. Bar Charts, Pie Charts and Stem-and-Leaf Diagrams
3. Frequency Polygons, Time Series and Line Charts
4. Histograms and Frequency Density
5. Cumulative Frequency and Box Plots
6. Scatter Diagrams, Population Pyramids and Choropleth Maps

Numerical Measures: Averages, Spread & Correlation

The calculation engine of GCSE Statistics: mean/median/mode for grouped and weighted data, range, IQR, standard deviation, regression, Spearman's rank and PMCC.

1. Mode, Median and Mean for Ungrouped Data
2. Averages from Frequency Tables and Grouped Data
3. Weighted Mean, Geometric Mean and Mean Seasonal Variation
4. Range, Quartiles and Interquartile Range
5. Standard Deviation, Interpercentile and Interdecile Range
6. Scatter Diagrams, Line of Best Fit and Regression
7. Spearman's Rank and Pearson's PMCC

Probability & Comparing Distributions

From the 0–1 scale to two-way tables, tree and Venn diagrams, risk, the binomial and Normal distributions, control charts and capture–recapture.

1. Probability Scale, Expected Frequency and Estimating from Data
2. Relative Risk, Absolute Risk and Risk Communication
3. Two-Way Tables, Tree Diagrams and Venn Diagrams
4. Comparing Data Sets in Context
5. Binomial and Normal Distributions and Standardising Data
6. Quality Control Charts, Population Estimates and Capture–Recapture

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