Learn the fundamentals of confidence intervals for a single population mean in this comprehensive 1.5-hour tutorial. Explore both Z (sigma known) and t (sigma unknown) methods, understand the interpretation of intervals, and examine the underlying assumptions. Discover how to derive confidence intervals, use appropriate z and t values, and interpret results. Investigate factors affecting margin of error, determine required sample sizes, and assess the normality assumption. Gain practical knowledge on constructing and applying confidence intervals to real-world statistical problems.
Overview
Syllabus
Introduction to Confidence Intervals.
Deriving a Confidence Interval for the Mean (The Rationale Behind the Confidence Interval Formula).
Intro to Confidence Intervals for One Mean (Sigma Known).
Finding the Appropriate z Value for the Confidence Interval Formula (Using a Table).
Confidence Intervals for One Mean: Interpreting the Interval.
What Factors Affect the Margin of Error? (In a Confidence Interval for One Mean).
Confidence Intervals for One Mean: Sigma Not Known (t Method).
Introduction to the t Distribution (non-technical).
Confidence Intervals for One Mean: Determining the Required Sample Size.
Confidence Intervals for One Mean: Investigating the Normality Assumption.
Taught by
jbstatistics
