Confidence Intervals

Course Overview

• Course Title: Confidence Intervals
• Instructor: Robert (Bob) Steele
• Target Audience:
  • Students with introductory statistics knowledge
  • Individuals with basic probability knowledge
  • Those comfortable with basic algebra and mathematical reasoning
• Prerequisites:
  • Introductory Statistics
  • Basic Probability Knowledge
  • Mathematical Proficiency

Curriculum Highlights

• Key Topics Covered:
  • Theoretical foundation of confidence intervals
  • Sampling distributions, standard error, and margin of error
  • Calculating confidence intervals for means and proportions
  • Applying confidence intervals to real-world data
  • Impact of sample size, variability, and confidence level
  • Evaluating accuracy and limitations of confidence intervals
  • Creating data visualizations and reports
• Key Skills Learned:
  • Understanding sampling distributions, standard error, and margin of error
  • Calculating confidence intervals using formulas
  • Applying confidence intervals to real-world datasets
  • Analyzing the impact of sample size, variability, and confidence level
  • Evaluating the accuracy and limitations of confidence intervals
  • Creating data visualizations and reports

Course Format

• Duration: 4.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 1 article
  • 1 downloadable resource
  • Access on mobile and TV
  • Certificate of completion