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1. Exploring univariate data

1.1 Intro to Statistics

1.1 Smelling Parkinsons Experiment Minor Summative

1.2 Representing Categorical Data

1.3 More Representing Categorical Data

1.3 Copy of Unit 1 Review

1.4 Introducing Quantitative Data

1.5 More Quantitative Data

1.6 5 number summary and Boxplot

1.7 Normal distributions, percentiles, and the empirical rule

2. Exploring 2 variable data

2.1 Introducing 2 variable displays

2.2 Intro to LSRL

2.3 Assessing the Model and Residuals

2.4 Non Linear Regression

3. Data cycle

3.1 Data Collection

3.2 Sampling Good - Bad

3.3 Inferences for Sampling

3.4 Observational Studies vs Experiments

3.5 Experimental Design

4. Probability

4.1 Probability

4.1 extra Practice

4.2 Basic Probability Rules

4.3 Two-Way Tables & Venn Diagrams

4.3 extra practice

4.4 Conditional Probability & Independence

4.5 Gen. Multiplication Rule & Tree Diagrams

4.6 Probability & Statistics-Measures of centre, Variation and Normal distribution

4.7 Probability & Statistics - Fundamental Counting Principle, Permutations & Combinations

5. Z-Scores

5.1 Z-Scores and Standard Normal Distribution

5.2 Line and Curve and Data analysis

5.3 FUNDAMENTAL COUNTING PRINCIPLE Factor Permutation and Combination

5.4 Probability Normal distribution

5.5 Factor Permutation and Combination with repetition

5.6 Normal distribution

5.7 Mean Median Mode

5.9 Linear, Quadratic and expotential function

6.9 Counting Principle, Permutation and Combination