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Statistics B — Probability Models and Statistical Inference (California)
Curriculum
4 Sections
20 Lessons
Lifetime
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Unit 1: Continuous Distributions and Sampling Distributions
5
1.1
Continuous Random Variables and Density Curves
50 mins
1.2
The Normal Distribution
50 mins
1.3
When Is a Normal Model Appropriate?
50 mins
1.4
Sampling Distributions and the Central Limit Theorem
50 mins
1.5
Performance Task — Sampling Distribution Simulation Study
150 mins
Unit 2: Estimating with Confidence
5
2.1
Estimating a Proportion with Confidence
50 mins
2.2
Confidence Intervals for a Mean
50 mins
2.3
What Confidence Means, and What It Does Not
50 mins
2.4
Comparing Two Groups with Confidence Intervals
50 mins
2.5
Performance Task — Estimation Study
150 mins
Unit 3: Testing Claims: Significance Tests
5
3.1
The Logic of a Significance Test
50 mins
3.2
t-Tests for Means and Paired Data
50 mins
3.3
Errors, Power and Significance in the Real World
50 mins
3.4
Two-Sample Tests from Experiments and Observational Data
50 mins
3.5
Performance Task — Significance Test Investigation
150 mins
Unit 4: Chi-Square, Regression Inference and the Capstone Study
5
4.1
Chi-Square Goodness of Fit
50 mins
4.2
Chi-Square Tests for Two-Way Tables
50 mins
4.3
Inference for the Slope of a Regression Line
50 mins
4.4
Choosing the Right Procedure and Writing It Up
50 mins
4.5
Capstone — Full Statistical Inference Study
200 mins
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