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Statistics (Years 1 and 2)
Year 1: Statistical Sampling
Data Types
Sampling Methods
Stage 3: Statistical Sampling Exam Questions
Year 1: Averages and Spread
Mean and Standard Deviation of Non-Grouped Data (Not relevant to OCR B (MEI) Spec) (41:14)
Mean and Standard Deviation of Grouped Data (Not relevant to OCR B (MEI) Spec) (12:15)
Mean and Standard Deviation of Grouped Data (OCR B (MEI)) (10:32)
Stage 3: Averages and Spread Exam Questions
Year 1: Graphical Representation of Data
Histograms (17:57)
Cumulative Frequency Diagrams and Box Plots (14:13)
Stage 3: Graphical Representation of Data Exam Questions
Year 1: Correlation and Regression
Correlation and Regression (17:23)
Year 1: Probability
Mutually Exclusive and Independent Events (with Venn Diagrams) (23:40)
Combined Events (9:57)
Year 1: Discrete Distributions
Discrete Random Variables (8:26)
Binomial Distribution: Calculating Binomial Probabilities (26:33)
Binomial Distribution: Binomial Problems in Context (8:01)
Binomial Distribution: Problems Involving Trial and Improvement and multiple Observations (17:11)
Stage 3: Discrete Distributions Exam Questions
Year 1: Binomial Hypothesis Testing
One Tail Binomial Hypothesis Tests (27:47)
Two Tail Binomial Hypothesis Tests (9:03)
Critical Regions in Binomial Hypothesis Tests (9:05)
Stage 3: Binomial Hypothesis Testing Exam Questions
Year 2: The Normal Distribution
Normal Approximations to a Binomial Distribution (OCR A)
Calculating and Inverting Normal Probabilities (26:40)
Calculating the Mean and Variance of a Normal Distribution (18:02)
Hypothesis Tests for the Sampling Mean of a Normal Distribution (25:50)
Normal Approximations to a Binomial Distribution (OCR B (MEI) and Edexcel) (14:29)
Stage 3: Normal Distribution Exam Questions
Year 2: Conditional Probability
Conditional Probability and Venn Diagrams (17:08)
Conditional Probability and Tree Diagrams (11:11)
Stage 3: Conditional Probability Exam Questions
Year 2: Correlation and Linear Regression
Hypothesis Tests for Correlation (17:37)
The Correlation Coefficient and Linear Regression (21:02)
Conditional Probability and Venn Diagrams
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