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
A simple random sample is a randomly selected subset of a population. In this sampling method, each member of the population has an exactly equal chance
Learn what systematic random sampling is and how you can use it to create random sampling surveys to get a clear understanding of a target population.
Stratified sampling is a method of sampling that involves dividing a population into homogeneous subgroups or 'strata', and then randomly selecting individuals from each group for study.