# Multimedia

• ### Confidence Intervals for A Population Mean: Investigating the Normality Assumption

This is a youtube video by Jeremy Balka that was published in May 2013. The video presents a discussion of the assumptions when using the t distribution in constructing a confidence interval for the population mean. By considering various population distributions, the effect of different violations of the normality assumption is investigated through simulation.
• ### Cartoon: Exam Thoughts

A cartoon to teach about the average and about positive versus negative skew. The cartoon was created by Diane L. Evans from Rose-Human Institute of Technology and won an honorable mention in the CAUSE 2013 A-Mu-sing contest.
• ### Video: 500 Trials

A video to teach about the central limit theorem and various issues in one-sample hypothesis testing. The lyrics and video were created by Scott Crawford from the University of Wyoming. The music is from the 1988 song "I'm Gonna Be (500 miles)" by the Scottish band The Proclaimers. The video took second place in the video category of the 2013 CAUSE A-Mu-sing competition. Free for non-profit use in classroom and course website applications.
• ### Video: Use ANOVA

A video to teach about principles of Analysis of Variance. The lyrics and video were created by Scott Crawford from the University of Wyoming. The music is from the 1984 song "Hallelujah" by Canadian songwriter Leonard Cohen. The video took third place in the video category of the 2013 CAUSE A-Mu-sing competition. Free for non-profit use in classroom and course website applications.
• ### Video: What is Statistics?

A video to dispel myths about Statistics and excite students early in a course. The lyrics and video were created by Scott Crawford from the University of Wyoming. The music is from the 2000 song "Where Are You, Christmas? " written by James Horner and Will Jennings for the movie "How the Grinch Stole Christmas". The video received an honorable mention in the video category of the 2013 CAUSE A-Mu-sing competition. Free for non-profit use in classroom and course website applications.
• ### Least Squares Demo JAVA Applet

This simulation illustrates least squares regression and how the least squares solution minimizes the sum of the squared residuals. The applet demonstrates, in a visual manner, various concepts related to least squares regression. These include residuals, sum of squares, the mean line, how the line of best fit is determined, and how the line of least squares solution minimizes the sum of the squared residuals.

• ### StatKey Applets (JAVA used)

StatKey is the analysis package to accompany the textbook "Statistics: Unlocking the Power of Data." StatKey includes interactive applets to describe and graph data, engage in bootstrapping and randomization tests, and explore sampling distributions and theoretical distributions.

• ### Johns Hopkins School of Public Health Videos on Statistical Reasoning

This YouTube channel includes a series of video interviews between John McGready and some of his colleagues from Johns Hopkins University. The videos are meant to highlight the importance of biostatistics as a core driver of public health discovery, the importance of statistical reasoning in the research process, and how the fundamentals that are covered in an introductory biostatistics course are the framework for more advanced methodology.

• ### Bootstrapping Applet

The WISE Bootstrapping Applet can be used to demonstrate bootstrapping by creating a confidence interval for a population mean or median. The user can manipulate the population distribution, sample size, and number of resamples. An associated guide gives suggestions for teaching bootstrapping.
• ### Cartoon: Normal versus Paranormal

A cartoon for use in teaching about the Normal distribution. The cartoon was drawn by Australian epidemiologist Matthew Freeman of the Public Health Information Development Unit at the University of Adelaide. It is free for use on course websites or in the classroom provided author acknowledgement is given (e.g. leave copyright statement on the image). Commercial uses should contact the copyright holder. The cartoon was also published under the title "A visual comparison of normal and paranormal distributions" in the Journal of Epidemiology and Community Health (2006) 60(1):6