AP Statistics>Inference for Slopes>Quiz 13.1 to 13.3
Unit 1: Analyzing Data
Day 1: Can Joy Detect Parkinson's Disease?
Day 2: Analyzing Categorical Data
Day 3: Representing Categorical Data
Day 4: Quiz 1.0 to 1.2
Day 5: Describing Quantitative Data
Day 6: Measuring Variability
Day 7: Comparing Quantitative Data
Day 8: Quiz 1.3 to 1.5
Day 9: Unit 1 Review
Day 10: Unit 1 Test
Unit 2: Modeling Data
Day 1: Percentile
Day 2: Location in a Distribution
Day 3: Linear Transformations of Quantitative Data
Day 4: Quiz 2.1 to 2.3
Day 5: Normal Distributions and the Empirical Rule
Day 6: Normal Distributions Calculations
Day 7: Normal Distributions Calculations Practice
Day 8: Quiz 2.4 to 2.5
Day 9: Unit 2 Review
Day 10: Unit 2 Test
Unit 3: Two-Variable Data
Day 1: Scatterplots
Day 2: Correlation
Day 3: Making Predictions
Day 4: Quiz 3.1 to 3.3
Day 5: Residual Plots
Day 6: Outliers, High-Leverage, and Influential Points
Day 7: Transforming Non-linear Data
Day 8: Choosing the Best Model
Day 9: Quiz 3.4 to 3.7
Day 10: Barbie Bungee Finale
Day 11: Unit 3 Review
Day 12: Unit 3 Test
Unit 4: Collecting Data
Day 1: Simple Random Sample
Day 2: Stratified Random Samples
Day 3: Cluster and Systematic Samples
Day 4: Potential Problems with Sampling
Day 5: Quiz 4.1 to 4.4
Day 6: Observational Studies and Experiments
Day 7: Designing Experiments
Day 8: Selecting an Experimental Design
Day 9: Inference and Experiments
Day 10: Scope of Inference
Day 11: Quiz 4.5 to 4.9
Day 12: Unit 4 Review
Day 13: Unit 4 Test
Unit 5: Probability
Day 1: Introducing Probability
Day 2: Simulation
Day 3: Rules for Probability
Day 4: The Addition Rule
Day 5: Quiz 5.1 to 5.4
Day 6: Conditional Probability and Independence
Day 7: Tree Diagrams
Day 8: Quiz 5.5 to 5.6
Day 9: Review Unit 5
Day 10: Unit 5 Review
Day 11: Unit 5 Test
Unit 6: Random Variables
Day 1: Discrete Random Variables
Day 2: Continuous Random Variables
Day 3: Transforming Random Variables
Day 4: Combining Random Variables
Day 5: Quiz 6.1 to 6.4
Day 6: Introduction to the Binomial Distribution
Day 7: Parameters for Binomial Distributions
Day 8: Conditions for Inference
Day 9: The Geometric Distribution
Day 10: Quiz 6.5 to 6.8
Day 11: Unit 6 Review
Day 12: Unit 6 Test
Unit 7: Sampling Distributions
Day 1: Sampling Distributions
Day 2: Bias and Variability
Day 3: Sample Proportions
Day 4: Differences in Sample Proportions
Day 5: Quiz 7.1 to 7.4
Day 6: Sample Means
Day 7: The Central Limit Theorem
Day 8: Differences in Sample Means
Day 9: Quiz 7.5 to 7.7
Day 10: Unit 7 Review
Day 11: Unit 7 Test
Unit 8: Confidence Intervals for Proportions
Day 1: Interpreting a Confidence Interval
Day 2: Interpreting a Confidence Level
Day 3: Quiz 8.1 to 8.2
Day 4: Constructing a Confidence Interval for a Proportion
Day 5: Confidence Intervals for a Proportion
Day 6: Confidence Intervals for a Difference of Proportions
Day 7: Quiz 8.3 to 8.5
Day 8: Unit 8 Review
Day 9: Unit 8 Test
Unit 9: Significance Tests for Proportions
Day 1: Introduction to Significance Tests
Day 2: Conditions and p-value
Day 3: Significance Tests for a Proportion
Day 4: Quiz 9.1 to 9.3
Day 5: Introduction to Significance Tests for a Difference of Proportions
Day 6: Significance Tests for a Difference of Proportions
Day 7: Type I and Type II Errors
Day 8: Power of a Test
Day 9: Quiz 9.4 to 9.7
Day 10: Unit 9 Review
Day 11: Unit 9 Test
Unit 10: Confidence Intervals for Means
Day 1: Constructing a Confidence Interval for a Mean
Day 2: Confidence Intervals for a Mean
Day 3: Quiz 10.1 to 10.2
Day 4: Confidence Intervals for a Difference of Means
Day 5: Confidence Intervals for a Mean Difference
Day 6: Quiz 10.3 to 10.4
Day 7: Unit 10 Review
Day 8: Unit 10 Test
Unit 11: Significance Tests for Means
Day 1: Introduction to Significance Tests for a Mean
Day 2: Significance Tests for a Mean
Day 3: Quiz 11.1 to 11.2
Day 4: Introduction to Significance Tests for a Difference of Means
Day 5: Significance Tests for a Difference of Means
Day 6: Significance Tests for a Mean Difference
Day 7: Quiz 11.3 to 11.5
Day 8: Unit 11 Review
Day 9: Unit 11 Test
Unit 12: Chi-Square Tests
Day 1: Introduction to Chi-Square Tests
Day 2: Chi-Square Test for Goodness of Fit
Day 3: Quiz 12.1 to 12.2
Day 4: Chi-Square Test for hom*ogeneity
Day 5: Chi-Square Test for Independence
Day 6: Quiz 12.3 to 12.4
Day 7: Unit 12 Review
Day 8: Unit 12 Test
Unit 13: Inference for Slopes
Day 1: Sampling Distribution of Slope
Day 2: Confidence Intervals for Slope
Day 3: Significance Tests for Slope
Day 4: Quiz 13.1 to 13.3
Unit 13 - Day 4
Assessments are an opportunity to find out what students understand. Questions should be carefully crafted to give students the opportunity to show what they know, but also expose what they don’t. When it comes to creating assessments, we follow these guiding principles:
Start with the Learning Targets. There should be a very strong alignment between what is learned in class (Math Medic Lessons), what is done for practice (Math Medic homework) and assessments (Math Medic quizzes and tests). The throughline that holds all of these together is the Learning Targets.
Assess more than just procedural skills. We want students to grasp deep conceptual ideas, not just follow an algorithm to arrive at an answer. We write creative questions that reveal student thinking by asking them to explain, decide, defend, and demonstrate their reasoning.
Vary how an idea is assessed. By changing up what we ask students to find or how we present the given information, we can determine with greater specificity where students are in the learning progression. We use a mix of basic, intermediate, and advanced questions on every assessment.
Learn more about the Math Medic Assessment Platform (MMAP).