Statistical Inference: Confidence Intervals

Estimating population parameters

This section contains 5 topics with 0 practice problems and 0 flashcards. Each topic includes comprehensive written notes, worked examples with detailed solutions, and interactive lessons for hands-on practice.

Topics Covered

• Sampling Distributions — Understand sampling distributions and the variability of sample statistics.
• Central Limit Theorem — Apply the Central Limit Theorem to approximate sampling distributions as Normal.
• Confidence Intervals for Proportions — Construct and interpret confidence intervals for a population proportion.
• Confidence Intervals for Means — Construct and interpret confidence intervals for a population mean using the t-distribution.
• Interpreting Confidence Intervals — Correctly interpret confidence intervals and understand confidence level meaning.

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