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Statistics (1ST0)
9 sections available · 51 chapters available
Free Statistics (1ST0) study notes for Pearson Edexcel GCSE (9-1) students. Each chapter breaks down a key concept with examples and practice prompts you can turn into AI drills in the thinka app.
The collection of data
Planning a statistical enquiry
Types of data
Population and sampling
Sampling techniques and stratification
Collecting data: sources, questionnaires and experiments
Bias, reliability, validity and cleaning data
Tabulation, diagrams and representation
Tables, pictograms and pie charts
Bar charts, line graphs and frequency diagrams
Cumulative frequency charts and box plots
Histograms and frequency density (Higher tier)
Comparative pie charts and 2D/3D comparisons (Higher tier)
Choosing representations and spotting misleading graphs
Skewness by inspection and by calculation
Measures of central tendency
Mode, median and mean for discrete and grouped data
Effects of adding, removing and transforming data
Choosing and comparing averages in context
Weighted mean, geometric mean and mean seasonal variation (Higher tier)
Measures of dispersion
Range, quartiles, IQR and percentiles
Outliers by inspection and by calculation
Standard deviation (Higher tier)
Interpercentile and interdecile ranges (Higher tier)
Standardised scores (Higher tier)
Comparing data sets using spread
Further summary statistics and time series
Index numbers: RPI, CPI and GDP
Weighted and chain base index numbers (Higher tier)
Rates of change and standardised rates
Time series, trend lines and moving averages
Seasonal effect and predictions (Higher tier)
Scatter diagrams and correlation
Correlation vocabulary and interpretation
Correlation, causation and spurious correlation
Line of best fit and the double mean point
Regression line and predictions (Higher tier)
Spearman's rank correlation coefficient
Pearson's product moment correlation coefficient (Higher tier)
Quality assurance and estimation
Distribution of sample means (Higher tier)
Control charts: action and warning lines (Higher tier)
Estimating population characteristics from samples
Sample size, reliability and replication
Petersen capture-recapture (Higher tier)
Probability
Estimating probability and expected frequency
Absolute risk and relative risk
Two-way tables, sample space, tree and Venn diagrams
Addition and multiplication laws; independence
Conditional probability
Experimental versus theoretical probability and bias
Binomial distribution (Higher tier)
Normal distribution (Higher tier)
The statistical enquiry cycle
Hypotheses and constraints on an investigation
Processing and presenting data, including with technology
Interpreting results and discussing reliability
Communicating, evaluating and refining findings
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