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Lecture 06: Point Estimates and Confidence Intervals Lecture 06: Point Estimates and Confidence Intervals
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Sign in to readLecture 06: Point Estimates and Confidence Intervals
Moving from Probability to Inference
Steel-Beam Yield Strength: Point Estimates
Assumptions for the Initial z Method
Deriving the 95% Interval
Steel Beams: 95% Confidence Interval
Steel Beams: Change the Confidence Level to 90%
Additional Material from the Notes 6 Handout
Planning the Sample Size for a Mean
Large-Sample z Example: Blood Pressure
A Confidence Interval for a Population Proportion
Capacitor Resistance
Worked Handout Example: Experience Ratings
Why Estimating the SD Leads to Student’s t
The One-Sample t Confidence Interval
Practice: Interpreting Confidence and Coverage
Checking the Normality Assumption
Bootstrap t: Estimating the Distribution from the Data
Steel Beams: Bootstrap Comparison
Worked Handout Example: Bushkin Pumpkins
Choosing a Mean-Interval Method