Unit 1 Lesson 11 : The Normal Distribution – Applications and Unit Review
Handout 1: The Normal Distribution – Applications and Unit Review
Unit 1, Topic 1.10: The Normal Distribution – Applications and Unit Review
Overview
This lesson applies the normal distribution to real situations, interpreting probabilities like "chance of exceeding a value." It also reviews Unit 1 concepts (variables, tables, graphs, descriptions, summaries). Context, like who the data is from, matters because it makes probabilities meaningful. For example, P(height > 190 cm) ≈ 2.5% for adults, but context like "athletes" changes the claim.
The normal distribution (bell-shaped, μ center, σ spread) helps with z-scores and areas. We’ll interpret results, reverse questions from graphs, and review to fix misconceptions (e.g., always include all features in descriptions).
Assignment:
Part 1: Guided Practice Activity
Work on your own. Use the normal distribution for heights (μ = 170 cm, σ = 10 cm). Interpret probabilities and review key concepts.
Example: Shaded curve: Area right of 180 cm (z=1, top 16%).
Tasks:
- Interpreting Probabilities:
- Calculate z for 180 cm and find P(height > 180 cm) using empirical rule or table (≈ 16%).
- Write 1-2 sentences interpreting in context (e.g., "16% of adults are taller than 180 cm, useful for basketball team selection.").
- Extra Practice: For test scores (μ = 75, σ = 10), interpret P(score < 65) ≈ 16% with context.
- Reviewing Unit Concepts:
- Compare two distributions (e.g., heights vs. scores: shapes, centers, variabilities).
- Describe a shape (e.g., normal as symmetric) and calculate a summary (e.g., mean for scores).
- Write 1-2 sentences addressing a misconception (e.g., "Descriptions must include gaps, not just peaks.").
- Extra Practice: Review a graph from Handout 4 (histogram); describe its features fully.
- Reversing Interpretations (Individual):
- For a shaded normal curve (e.g., middle 68% shaded), create 2 questions it answers (e.g., "What % are within 1σ?").
- Write 2-3 sentences justifying with context (e.g., "This shows typical range for heights in a population.").
Part 2: Independent Practice
Review Unit 1 with this mixed task for commute times (μ = 30 min, σ = 10 min). Data points: 20, 30, 40, 50 min.
Tasks:
- Interpret P(commute > 40 min) ≈ 16%, justifying a claim in context.
- Compare to a skewed distribution (e.g., from Handout 6: skewed scores); note differences in shape/center.
- Write 2-3 sentences on a misconception (e.g., "Normal assumes symmetry, unlike skewed data where median > mean.").
- Extra Activity: Invent a normal scenario (e.g., weights); create a reversed question from a shaded curve and interpret.
Homework Assignment
- Complete the AP Classroom Personal Progress Check for Unit 1. Review misconceptions (e.g., full descriptions), and preview Unit 2 by noting how two-variable data (e.g., height vs. weight) differs from one-variable to share next class.