A-Level Maths - Statistics 1

- 1 EXT Modelling in Probability and Stats
- 1.1 DATA: Populations and Samples
- 1.2 DATA: Sampling Methods
- 1.3 DATA: Non Random Sampling
- 1.4 DATA: Types of Data
- 1.5 DATA: The large data set
- 2.1 MLS: Central Tendancy MeanMedianMode
- 2.2 MLS: Other, Quartiles, Percentiles
- 2.3 MLS: Measure of spread, IQR
- 2.4 MLS: Variance and Standard Deviation
- 2.5 MLS: Coding
- 3.1 DATA REP: Outliers
- 3.2 DATA REP: Box plots and Interquartiles
- 3.3a DATA REP: Cumulative Frequency Step Polygon
- 3.3b DATA REP: Cumulative Frequency Graph
- 3.4a DATA REP: Histograms
- 3.4b DATA REP: Relative Frequency histogram
- 3 EXT Stem and Leaf Diagrams
- 3 EXT Grouped Frequency distr.
- 3 EXT Frequency Distribution Table
- 3.5 DATA REP: Comparing data
- 4.1 CORRELATION: Correlation
- 4.2 CORRELATION: Linear Regression
- 5.1 (A) Calculating Probabilities
- 5.2 (B) Venn Diagrams
- 5.3 (C) Mutually Exclusive & Independent events
- 5.4 (D) Tree Diagrams
- 6.1 (A) Probability Distribution
- 6.2 (B) Binomial Distribution
- 6.3 (C) Cumulative Probability
- 7.1 (A) Hypothesis Testing
- 7.2 (B) Finding Critical Values
- 7.3 (C) One Tailed Tests
- 7.4 (D) Two Tailed Tests

Mathematical Models There are several situations in which mathematical models can be used very effectively in introductory education. Mathematical models can help students understand and explore the meaning of ...

Modelling is a vague term. Sometimes many people, even academics, confuse mathematical models with statistical models and vice versa.

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