Two Sample Inference
II. Anticipating Patterns: Exploring random phenomena using probability and Simulation.
D. Sampling distributions
4. Sampling distribution of a difference between two independent sample proportions
5. Sampling distribution of a difference between two independent sample means
IV. Statistical Inference: Estimating population parameters and testing hypotheses.
A. Estimation (point estimators and confidence intervals)
5. Large sample confidence interval for a difference between two proportions
7. Confidence interval for a difference between two means (unpaired and paired)
IV. Statistical Inference: Estimating population parameters and testing hypotheses.
B. Tests of significance
3. Large sample test for a difference between two proportions
5. Test for a difference between two means (unpaired and paired)
II. Anticipating Patterns: Exploring random phenomena using probability and Simulation.
D. Sampling distributions
1. Sampling distribution of a sample proportion
2. Sampling distribution of a sample mean
3. Central Limit Theorem
6. Simulation of sampling distributions
7. T-distribution
IV. Statistical Inference: Estimating population parameters and testing hypotheses.
A. Estimation (point estimators and confidence intervals)
1. Estimating population parameters and margins of error
2. Properties of point estimators, including unbiasedness and variability
3. Logic of confidence intervals, meaning of confidence level and confidence intervals, and properties of confidence intervals
B. Tests of significance
1. Logic of significance testing, null and alternative hypotheses; p-values; one-and two sided tests; concepts of Type I and Type II errors; concept of power
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