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Video: Confidence Interval for a Population Mean
This video discusses the concept of a confidence interval for a population mean. It emphasizes the interpretation of a confidence interval and explores the connections between the interval width, margin of error and sample size.
Prerequisite Knowledge
Students should
- be able to identify and distinguish between a population and a sample, and between parameters and statistics;
- be familiar with methods of summarizing data sets, such as mean, standard deviation and histograms;
- be able to recognize probability models as distributions with shape, centre, and spread particularly the Normal distribution;
- be able to explain the concepts of sampling variability and sampling distribution.
Learning Objectives
- Interpret a confidence interval and confidence level
- Identify features that determine the width of a confidence interval
Suggested use(s) and tips
- Students can watch the video before class, giving them the flexibility to engage with the video in the way that suits them (pausing, rewinding). Students are primed for class and lecture time can be spent applying that knowledge in engaging and collaborative ways.
- Students can watch the video after they have learned the material in lecture. The video could be used as a refresher of the material before an exam or to review concepts they didn’t understand in class.
About this resource
Written by: Mike Marin, Zachary Rothman & Stephen Gillis
Performed by: Mike Marin
Puppets built and Performed: Dusty Hagerud
Production Design and Conceptual Drawings: Jelena Sihvonen
Camera: Paul Milaire, Zachary Rothman, & Stephen Gillis
Editing: Stephon Gillis
Visual Effects: Paul Milaire
Audio Edit and Mix: Stephan Gills & Cornelius Wolinsky
UBC Intro Stats Project Team: Mike Marin, Nancy Heckman, Bruce Dunham, Eugenia Yu, Melissa Lee, Michael Whitlock, Gaitri Yapa, Fred Cutler, Andrew Owen, Diana Whistler, Andy Leung, Gillian Gerhard & Noureddine Elouazizi
Special Thanks: Gary Rosborough, Saeed Dyanatkar, Andrew Wang, David Li, Kian Marin, Ladan Hamadani & UBC Statistics Department
Produced and Directed by: Zachary Rothman
Associate Producer: Stephen Gillis
This video is part of the UBC Intro Stats Project funded by the University of British Columbia’s Teaching and Learning Enhancement Fund, The Faculty of Medicine, The Faculty of Science, and The Faculty of Arts
Copyright UBC 2017
License Creative Commons
Share-alike, Non-Derivs & Non-commercial
Video: One Sample T-Test
Topics:
• Hypothesis tests - One sample/paired - One sample mean t