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Preview of AP® Statistics - Unit 9: Inference for Slopes

AP® Statistics - Unit 9: Inference for Slopes

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
Preview of Confidence Intervals Practice (4 problems)

Confidence Intervals Practice (4 problems)

This worksheet provides practice on constructing and interpreting confidence intervals. It covers all four major types of intervals students are responsible for on the AP Exam: One proportion One mean Difference of two proportions Difference of two means Each problem requires students to: Check conditions for inference Use the correct formula and critical value (z or t) Compute the confidence interval Interpret the interval in contextThe worksheet concludes with reflection questions that re
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 Spearman's Rank Guided Notes | Made For IB Math Applications and Interpretations

Spearman's Rank Guided Notes | Made For IB Math Applications and Interpretations

Created by
Straight A Math
Teach Spearman’s Rank Correlation Coefficient with clarity and confidence! This comprehensive set of guided notes is perfect for helping your students understand and apply Spearman’s rank in a step-by-step, student-friendly format. Designed especially for IB Mathematics: Applications and Interpretation (AI) classrooms, it can also be used in any statistics or data analysis course that covers non-parametric correlation. What’s Included: 10 pages of structured, fill-in-the-blank guided notes
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