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