MEI Statistics Tutorials for MEI Mathematics A-Level
Outlined below are topics covered for the MEI Statistics Section of MEI Mathematics A-Level
In case of changes, check out the official MEI Statistics A-Level section in the mathematics specification
Representing Data
Mean
Median and Quartiles
- Median, lower, upper quartiles and interquartile range for discrete data
- Exam Questions - Median, lower, upper quartiles and interquartile range for discrete data
- Cumulative frequency curves
- How to interpret class intervals
- Estimating the median, quartiles, percentiles from a grouped frequency table
- Exam Questions - Estimating the median from a grouped frequency table
- Exam Questions - Estimating the median from a histogram
Standard Deviation
Statistical Diagrams
- Stem and leaf diagrams
- Box and whisker plots
- Exam Questions - Box and whisker plots
- Exam Questions - Stem and leaf diagrams and box and whisker plots
- Histograms
- Exam Questions - Histograms
- Histograms - How to find the width and height of a class interval
- Exam Questions - Histograms, Finding the length and width of a rectangle
Probability
Tree Diagrams
Venn Diagrams
Two Way Tables
Independent, Dependent and Mutually Exclusive Events
Discrete Random Variables
Discrete Probability Distributions
Binomial Distribution
The Normal Distribution
The Normal Distribution
- The normal distribution
- Normal Cumulative Distribution Function
- Inverse Normal Function to find observed values
- The standard normal distribution Z~N(0,1) - Using tables or calculator
- Probabilities from a normal distribution using tables
- Exam Questions - Normal distribution, finding a probability
- Calculating the mean μ and standard deviation σ
- Exam Questions - Calculating the mean and standard deviation
- Exam Questions - Finding an observed value
- Sampling distribution of the sample means (Normal distribution)
- Sampling distribution of the sample means (Normal distribution) proof
- Introduction to Hypothesis testing for Normal distribution
- Hypothesis testing for Normal distribution (One tailed and 2 tailed test)
- Understanding Critical values (Hypothesis testing for Normal Distribution)
- Hypothesis testing for Normal Distribution - Critical values method (3 examples)