England · AQAQ&A
StatisticsQ&A by dot point
A short Q&A bank for every England Statistics syllabus dot point. Each question and answer is drawn directly from our worked dot-point page, so you can scan key concepts before opening the long-form answer.
Probability
- The probability scale, theoretical and experimental probability, relative frequency, expected frequency, and the addition and multiplication rules.0Q&A pairs
- Probability distributions, the discrete uniform distribution, the binomial distribution, and expected values.0Q&A pairs
- Tree diagrams, Venn diagrams, sample space diagrams, independent and conditional probability, and set notation.0Q&A pairs
Processing and representing data
- Cumulative frequency tables and graphs, estimating the median and quartiles, and drawing and interpreting box plots.0Q&A pairs
- Stem and leaf diagrams, multiple and composite bar charts, comparative pie charts, and choosing the right diagram.0Q&A pairs
- Histograms with equal and unequal class widths, frequency density, frequency polygons and population pyramids.0Q&A pairs
- Frequency tables, grouped frequency tables, two-way tables, pictograms, bar charts and pie charts.1Q&A pairs
Scatter diagrams and correlation
- The difference between correlation and causation, spurious correlation, and confounding variables.0Q&A pairs
- Lines of best fit through the mean point, the equation of the line, interpolation, extrapolation, and Spearman's rank correlation coefficient.0Q&A pairs
- Plotting scatter diagrams, bivariate data, identifying types and strength of correlation, and spotting outliers.0Q&A pairs
Summarising data
- Comparing distributions using an average and a measure of spread, skewness, and writing comparisons in context.0Q&A pairs
- Mean, median and mode, averages from frequency tables, estimated mean from grouped data, and weighted means.0Q&A pairs
- Range, interquartile range, percentiles, the effect of outliers, and choosing a measure of spread.0Q&A pairs
- Finding quartiles from a list and from cumulative frequency, the interquartile range, percentiles and identifying outliers.0Q&A pairs
- Variance and standard deviation, calculating standard deviation from a list and a frequency table, and interpreting it.0Q&A pairs
The collection of data
- Data collection sheets, tally charts, questionnaires, open and closed questions, response boxes and avoiding leading or biased questions.0Q&A pairs
- Explanatory and response variables, controlled and extraneous variables, control groups, and sources of bias in sampling and data collection.0Q&A pairs
- Populations, sampling frames, census versus sample, random, systematic, stratified, quota and cluster sampling.0Q&A pairs
- The statistical enquiry cycle, hypotheses, the stages of an investigation, and types of statistical problem.0Q&A pairs
- Qualitative and quantitative data, discrete and continuous data, primary and secondary data, and categorical and ranked data.0Q&A pairs
The normal distribution and index numbers
- Simple index numbers, the base year, the Retail Price Index and Consumer Price Index, and chain base and weighted index numbers.0Q&A pairs
- Standardised scores, the standardised score formula, and using them to compare performance across distributions.0Q&A pairs
- The shape of the normal distribution, symmetry about the mean, and the 68, 95, 99.7 percent rule.0Q&A pairs
Time series
- Calculating moving averages, choosing the period, centred moving averages, and plotting them to show the trend.0Q&A pairs
- Time series graphs, trend, seasonal variation, cyclical and random variation, and reading time series data.0Q&A pairs
- Trend lines through moving averages, the mean seasonal effect, and forecasting future values from a time series.0Q&A pairs