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AP Calculus
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AP Calculus AB
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AP Statistic
Introducing one variable statistics
Language of variables
Unit 1 Revision
Unit 2 Revision
Representing Categorical Data
Categorical data with graphs
Inference of Means Revision
Unit 1 Revision (ii)
Quantitative data with graphs
Unit 2 Revision (ii)
Describing distributions
Comparing distributions
Summary Statistics
Inference of Means Revision (ii)
Graphical representation
Mid Term Revision 1
Normal Distribution
Mid Term Revision 2
Are variables related
?
Mid Term Revision 3
Introduction to Probability
Estimating Probabilities
Two categorical variables
Categorical variables statistics
Regression Models
Representing the relationship between two categorical variables
Correlation
Linear Regression Models
Introducing statistic- do data tell the truth
Introduction to planning an experiment
Sampling Methods
Introduction to experimental design
Sampling potential problems
Selecting an experimental design
Why is my sample different?
Normal Distribution
Central Limit Theorem
Central Limit Theorem
Central Limit Theorem
Biased and unbiased point estimates
Sampling distribution for distribution in proportions
Sampling distribution for difference between proportions
Sampling distribution for sample means
Sampling distribution for difference between means
Introducing statistics - do points align
Confidence interval for the slope
Setting up a test for the slope
Justifying the claim about the slope
AP Statistic Revision
Normal Distribution
Representing Categorical Variables
Random Sampling
and Data Collection
Concluding a test for a population proportion
sampling distribution for sample means
Constructing a confidence interval with a population mean
Mock Exam : Question 5 and Question 6
Comparing means
Correlation
Experimental Design
Conditional Probability
Biased and Unbiased Estimators
Distribution of difference of sample means
Selecting, implementing procedures
Ski focused - categorical data
Ski focused - slope
Graphical representations of summary statistics
Analysing Departures from Linearity
Inference and Experiments
Parameters of Binomial Distribution
Sample distribution for sample proportion
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