Learn Math with Anna

This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for each unit (9 total), and one unit test for each unit (9 total). There are also 3 mock exams with grading guides and full solutions included! Unit 1: Exploring One-Variable Data1.1 — Types of Variables & Categorical vs Quantitative 1.2 — Displaying Quantitative Data: Dotplots & Stemplots 1.3 — Displaying Quantitative Data: Histogra

What’s Included in this Bundle:📊 3 Full-Length Mock ExamsSection I: 40 Multiple-Choice Questions per exam, covering all four major conceptual themes (Exploring Data, Sampling and Experimentation, Probability, and Statistical Inference).Section II: 6 Free-Response Questions per exam (including a question on: data collection/experimental design, exploring data (univariate or bivariate), probability or simulations, statistical inference, a question that combines multiple skill categories, and an i

This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for the unit, and one unit test for the unit with solutions. Unit 7: Inference for Means7.1 — Confidence Intervals for Means (One-Sample t-Interval) 7.2 — Significance Tests for Means (One-Sample t-Test) 7.3 — Two-Sample t-Interval for Means 7.4 — Two-Sample t-Test for Means 7.5 — Paired Data: Matched-Pairs t-Procedure 7.6 — Conditions

This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for the unit, and one unit test for the unit with solutions. Unit 6: Inference for Proportions6.1 — Confidence Intervals for a Proportion (1-Prop z-Interval) 6.2 — Interpreting Confidence Intervals in Context 6.3 — Significance Tests for a Proportion (1-Prop z-Test) 6.4 — Interpreting p-Values & Significance Levels 6.5 — Two-Proportion

This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for the unit, and one unit test for the unit with solutions. Unit 3: Collecting Data3.1 — Populations, Samples, and Observational Studies 3.2 — Sampling Methods: SRS, Stratified, Cluster, Systematic 3.3 — Sampling Bias: Undercoverage, Nonresponse, Response Bias 3.4 — Designing Experiments: Treatments, Factors, Levels 3.5 — Experiment E

This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for the unit, and one unit test for the unit with solutions. Unit 4: Probability & Random Variables4.1 — Introduction to Probability & Relative Frequency 4.2 — Basic Probability Rules: Additive & Complement 4.3 — Conditional Probability with Two-Way Tables 4.4 — Multiplication Rule & Independence 4.5 — Probability Trees & Counting Prin

This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for the unit, and one unit test for the unit with solutions. Unit 2: Exploring Two-Variable Data2.1 — Scatterplots: Describing Relationships 2.2 — Correlation: Strength, Direction, Interpretation 2.3 — Least Squares Regression Line (LSRL) 2.4 — Interpreting Slope & Y-Intercept in Context 2.5 — Making Predictions: Interpolation vs Extra

This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for the unit, and one unit test for the unit with solutions. Unit 5: Sampling Distributions5.1 — What Is a Sampling Distribution? 5.2 — Sampling Distribution of a Sample Proportion 5.3 — Sampling Distribution of a Sample Mean 5.4 — Standard Error vs Standard Deviation 5.5 — The Central Limit Theorem 5.6 — The 10% Condition for Independ

This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for the unit, and one unit test for the unit with solutions. Unit 1: Exploring One-Variable Data1.1 — Types of Variables & Categorical vs Quantitative 1.2 — Displaying Quantitative Data: Dotplots & Stemplots 1.3 — Displaying Quantitative Data: Histograms 1.4 — Displaying Categorical Data: Tables, Bar Graphs, Pie Charts 1.5 — Describing

This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for the unit, and one unit test for the unit with solutions. Unit 8: Chi-Square Inference8.1 — Chi-Square Distributions, Expected Counts, Conditions 8.2 —More Chi-Square Goodness-of-Fit Test 8.3 —More Chi-Square Test for Homogeneity 8.4 — More Chi-Square Test for Independence 8.5 — More Interpreting Chi-Square Results & Components AP®

This resource includes one powerpoint-style lesson (example is in the preview) per section, one worksheet set with full solutions per section, one reference sheet for the unit, and one unit test for the unit with solutions. Unit 9: Inference for Slopes9.1 — Conditions for Regression Inference 9.2 — Standard Error of the Slope 9.3 — Confidence Interval for the Slope 9.4 — Significance Test for the Slope 9.5 — Using Computer Output for Regression Inference AP® is a trademark registered by the Coll

This AP Statistics Readiness Checklist helps students review the core skills needed for AP Statistics, including linear equations, percentages, proportions, descriptive statistics, probability, graph interpretation, reading comprehension, and logic. Students can use it to identify gaps, prioritize review, and build confidence before beginning a course focused on data interpretation, real-world scenarios, and statistical reasoning. AP® and Advanced Placement® are registered trademarks of the Co

This TI-84 Calculator Skills Guide for AP Statistics gives students step-by-step directions for the most important calculator functions they will use throughout the AP Statistics course. It is designed to help students spend less time worrying about calculator steps and more time focusing on interpreting results, explaining conclusions, and understanding the statistics behind the output. AP® is a trademark registered by the College Board, which is not affiliated with, and does not endorse, thi

Help students understand the meaning behind statistics formulas with this Statistics Formula Interpretation Guide for high school statistics students. This resource is designed to help students interpret formulas, connect symbols to meaning, and understand what statistical calculations are actually telling them. Statistics can feel formula-heavy, but the formulas are really tools for describing data, measuring variation, making predictions, and drawing conclusions. This guide helps students und