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Preview of AP® Statistics - Unit 4: Probability & Random Variables

AP® Statistics - Unit 4: Probability & Random Variables

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
Preview of ΑP Statistics – 8.4: Expected Counts in Two-Way Tables (MEGA NOTES)

ΑP Statistics – 8.4: Expected Counts in Two-Way Tables (MEGA NOTES)

Master how to calculate and interpret expected counts in two-way tables — a key concept for Chi-Square Tests in AP Statistics. This resource provides a clear, step-by-step method to help students understand how expected counts are formed and how they are used in hypothesis testing. ✔ Step-by-step calculation method ✔ Clear explanation of the formula ✔ Connection to Chi-Square tests ✔ Multiple worked examples This is a foundational concept that students must fully understand before moving
Preview of Lab Group Differences in Decision Making: Iowa Gambling Task

Lab Group Differences in Decision Making: Iowa Gambling Task

Created by
Brian Garber
This laboratory activity suite investigates group differences in ventromedial prefrontal cortex (VPC) function through comparative statistical analysis. Students complete the Iowa Gambling Task, a validated decision-making assessment that measures VPC function through final bank amount scores. The activity is structured in three parallel investigations examining VPC function across different categorical variables: biological sex (male vs. female), grade level (juniors vs. seniors), and pet prefe
Preview of Lab Caffeine and Decision-Making: A Correlational Study

Lab Caffeine and Decision-Making: A Correlational Study

Created by
Brian Garber
Caffeinated Decisions: Investigating the Neural Economics of Risk and Reward This laboratory exercise explores the relationship between caffeine consumption and ventromedial prefrontal cortex (VPC) function through a correlational study. Students begin by calculating their daily caffeine intake using an online calculator, then assess their VPC function by completing the Iowa Gambling Task, a decision-making assessment that relies on the ventromedial prefrontal cortex. After obtaining their own
Preview of Psychology Lab Emotional Intelligence: Is It More About Reading Others or Manag

Psychology Lab Emotional Intelligence: Is It More About Reading Others or Manag

Created by
Brian Garber
Students complete the Emotional Intelligence scale (X), the Empathy Quotient EQ (Y), and the ERQ Cognitive Reappraisal subscale (Z), then collect all three scores from 9 classmates and run two correlations: EI vs. Empathy and EI vs. Emotion Regulation. The lab examines two core functions attributed to emotional intelligence — understanding others' emotions (empathy) and managing one's own emotions (reappraisal) — and asks which is more strongly correlated with overall EI scores. Students evaluat
Preview of AP Biology UNIT 3 Cellular Energetics 3.2 Environmental Impacts Simulated Lab

AP Biology UNIT 3 Cellular Energetics 3.2 Environmental Impacts Simulated Lab

AP Biology Unit 3.2 Enzyme Activity Simulation Lab Report - Complete Teaching Package Overview Comprehensive simulation lab report worksheet exploring the effects of various factors on enzyme activity, specifically designed for AP Biology Unit 3 (Cellular Energetics), Topic 3.2: Environmental Impacts on Enzyme Function. This engaging, inquiry-based resource uses catalase enzyme experiments to help students understand how environmental factors affect enzyme function and reaction rates. Enzyme F
Preview of Psychology Lab Juniors vs. Seniors: Who Thinks More Flexibly? A CFS Lab

Psychology Lab Juniors vs. Seniors: Who Thinks More Flexibly? A CFS Lab

Created by
Brian Garber
Students complete the Cognitive Flexibility Scale (CFS), which measures the ability to switch thinking, perceive multiple alternatives, and adapt to new situations, then collect scores from junior and senior classmates to run an independent samples t-test. The lab examines whether cognitive flexibility — a higher-order executive function — develops measurably between these two grade levels. Students consider whether seniors additional academic exposure and life experience translate into greater
Preview of The Geometric Distribution (4.12 Mega Practice Set)

The Geometric Distribution (4.12 Mega Practice Set)

This Mega Practice Set of 17 pages provides a complete and in-depth collection of 50 original, AP-style multiple-choice questions covering Geometric Distributions, fully aligned with AP Statistics Unit 4.12. The questions are carefully structured into five levels of increasing depth, guiding students from basic probability calculations to advanced interpretation and parameter reasoning—exactly the skills required for AP Statistics success. Perfect for classroom instruction, homework, assess
Preview of Expected Value & Discrete Distributions | IB Math Additional Practice Worksheet

Expected Value & Discrete Distributions | IB Math Additional Practice Worksheet

Created by
Straight A Math
Reinforce your students’ understanding of expected value and discrete probability distributions with this targeted, no-prep practice worksheet — perfect for IB Math or any high school statistics class! This resource is designed to give students the extra repetition and challenge they need to master calculating expected value, interpreting distribution tables, and applying their knowledge to real-world problems. ✅ What’s Included: Practice problems covering: Discrete random variables Pro
Preview of Chi-Square Tests | No-Prep Guided Notes for IB Math or Stats Class

Chi-Square Tests | No-Prep Guided Notes for IB Math or Stats Class

Created by
Straight A Math
Help your students master Chi-Square Tests with these clear, structured, and no-prep guided notes, perfect for IB Math Applications and Interpretations, AP Statistics, or any upper-level statistics course. These notes break down complex concepts into approachable steps with definitions, examples, and exam-style practice. ✅ What’s Included: Step-by-step instruction on: Chi-Square Tests for Frequency Tables Degrees of Freedom Expected Frequencies Goodness of Fit Tests Guided examples
Preview of AP® Statistics - Unit 1: Exploring One-Variable Data

AP® Statistics - Unit 1: Exploring One-Variable Data

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
Preview of Expected Value & Discrete Distributions | No-Prep Probability Lesson for IB Math

Expected Value & Discrete Distributions | No-Prep Probability Lesson for IB Math

Created by
Straight A Math
Make teaching Expected Value and Discrete Probability Distributions effortless with this no-prep guided notes resource, designed for IB Math (AI & AA) or any high school statistics course. These structured, student-friendly notes help your learners master core probability concepts with step-by-step instruction, practice problems, and clear visuals. ✅ What’s Included: Definitions of expected value, discrete random variables, and probability distributions Guided examples walking through how
Preview of AP® Statistics - Full Course Curriculum

AP® Statistics - Full Course Curriculum

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
Preview of Complete Statistics Unit for IB Math AISL | Guided Notes Activities & Assignment

Complete Statistics Unit for IB Math AISL | Guided Notes Activities & Assignment

Created by
Straight A Math
Bring your statistics unit to life with this all-in-one resource pack designed specifically for IB Mathematics Applications and Interpretation (AI) at the Standard Level — but versatile enough to enrich any high school statistics class. Whether you're looking for a full semester’s worth of engaging, no-prep content or aiming to supplement your existing curriculum, this comprehensive statistics bundle delivers clear instruction, thoughtful practice, and interactive learning experiences. T
Preview of AP Statistics Probability Rules – Comprehensive Notes, Practice

AP Statistics Probability Rules – Comprehensive Notes, Practice

This AP Statistics Probability Rules Comprehensive Worksheet is an all-in-one resource designed to help students master probability concepts required on the AP Statistics exam. Perfect for unit instruction, guided practice, review, or test prep, this resource walks students step-by-step from foundational rules to advanced AP-style applications. The packet includes clear explanations, worked examples, AP-style multiple choice and free response questions, and fully worked solutions—making it i
Preview of Chi-Square Tests Additional Practice | Goodness of Fit & Test for Independence

Chi-Square Tests Additional Practice | Goodness of Fit & Test for Independence

Created by
Straight A Math
Reinforce student confidence with this additional practice assignment covering both chi-square goodness of fit and chi-square test for independence—perfect for IB Math, AP Stats, or any high school statistics course! Students will work through multiple problems involving categorical data, expected frequencies, degrees of freedom, and hypothesis testing. Questions range from interpreting p-values to writing conclusions, ensuring well-rounded understanding and exam readiness. This no-prep
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