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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 Titanic two-way contingency tables to determine dependency

Titanic two-way contingency tables to determine dependency

Created by
james kowalsky
Given two 2-way contingency tables, students calculate contingency percentages after completing 2-way tables involving Titanic survival stats and then Eczema cream effectiveness. By comparing percentages, it can be determined whether or not evidence for DEPENDENCE between two variables can be suggested.
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 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 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 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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