Embedded Files
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AP Statistics - Desmos + Stats Medic Instruction
Chapter 1
Chapter 1
Chapter 1.3 Analyzing Categorical Data
Chapter 1.4 Displaying Quantitative Data- How many pairs of shoes do you own?
Chapter 1.7 Describing Quantitative Data - How many colleges are you applying to?
Chapter 1.8 Describing Quantitative Data - Where Do I Stand?
Chapter 1.9 Describing Quantitative Data: Who is Baseball’s Greatest Home Run Hitter?
Chapter 2
Chapter 2
Chapter 2.1 Describing Location in a Distribution: Where do I stand?
Chapter 2.2 Describing Location in a Distribution: How Did I Do?
Chapter 2.3 Density Curves and Normal Distributions-Exploring Density Curves
Chapter 2.4 Density Curves and Normal Distributions: Will Marty Make it Back to the Future?
Chapter 2.5 b Density Curves and Normal Distributions - Do we have Normal test scores?
Chapter 2 Calculator Practice - Normal Distribution Probabilities
Chapter 3
Chapter 3
Chapter 3 Day 1 Displaying Relationships: Scatterplots: How many rubber bands does Barbie need?
Chapter 3 Day 2 Displaying Relationships: Correlation: How safe is Barbie?
Chapter 3 Day 3 Prediction, Residuals, Interpreting a Regression Line: How good are the predictions for Barbie?
Chapter 3 Day 4 LSRL and Residual Plots: How many iPhones will be sold?
Chapter 3 Day 7 Outliers and the LSRL
Chapter 4
Chapter 4
Chapter 4 Day 1 Sampling Methods 1 - Does Beyoncé write her own lyrics?
Chapter 4 Day2: Other Random Sampling Methods Day 1
Chapter 4: Day 3 Day 3 More Sampling Methods Day 2- How Much Do Fans Love Justin Timberlake? Day 2
Chapter 4: Day 4 Sample Surveys: What else can go wrong?
Chapter 4: Day 6 Observational Studies and Experiments - Does SAT prep improve scores?
Chapter 4: Day 7 Designing Experiments - Would you fall for that?
Chapter 4: day 8 Randomized Block Designs
Chapter 4: Day 10 Inference for Experiments
Chapter 4: Day 11 Scope of Inference
Chapter 4: Day 13 Does caffeine increase heart rate? The Finale
Chapter 5
Chapter 5
Chapter 5: Day 1 The Idea of Probability
Chapter 5: Day 3 Basic Probability Rules
Chapter 5: Day 4 Venn Diagrams, General Addition Rule
Chapter 5: Day 6 - Conditional Probability and Independence
Chapter 5 Day 7 - Conditional Probability and Independence
Chapter 5: Day 9 - Mutually Exclusive versus Independent events
Chapter 6
Chapter 6
Chapter 6: Day 1 Discrete Random Variables
Chapter 6 Day 2: Probability and Continuous Random Variables
Chapter 6 Day 3: Transforming Probability Distributions
Chapter 6 Day 4: Combining Probability Distributions
Chapter 6 Day 7: Binomial Random Variables
Chapter 6 Day 8: Normal Approximation to Binomial Distributions
Chapter 7
Chapter 7
Chapter 7 Day 1 : What is a Sampling Distribution?
Chapter 7 Day 2: Sampling Distributions
Chapter 7 Day 4: Sample Proportions
Chapter 7 Day 5: The Sampling Distribution of Difference between 2 Proportions
Chapter 7 Day 8: Central Limit Theorem
Chapter 7 Day 9: The Sampling Distribution of difference between 2 means
Chapter 7 Day 11: Review of Sampling Distributions for Sample Means
Chapter 8
Chapter 8
Chapter 8 Day 1 - The Idea of a Confidence Interval
Chapter 8 Day 2 - Interpreting the Confidence Level
Chapter 8 Day 4 - Constructing a Confidence Interval for p
Chapter 8 Day 5 - Estimating a Population Proportion: The 4-Step Process
Chapter 8 Day 7 - Constructing a Confidence Interval for p1 – p2
Chapter 9
Chapter 9
Chapter 9 Day 1 - Identify the population, parameter, sample and statistic
Chapter 9 Day 2 - Significance Tests: The Basics
Chapter 9 Day 3 - Significance Test for p
Chapter 9 Day 4 - Significance Test for a Proportion - 4 Step
Chapter 9 Day 6 - Tests About a Difference in Proportions - Intro
Chapter 9 Day 7 - Tests About a Difference in Proportions
Chapter 9 Day 9 - Type I and Type II Errors
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