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Description
From understanding the percentage probability that it will rain later today, to evaluating your risk of a health problem, or the fluctuations in the stock market, statistics impact our lives in a variety of ways, and are vital to a variety of careers and fields of practice. Unfortunately, most statistics text books just make us want to take a snooze, but with Statistics 101, you'll learn the basics of statistics in a way that is both easy-to-understand...
6) Boxplots
Language
English
Description
Using the example of hot dog calorie counts, boxplots help us to visualize the five-number summary and make comparisons between different types of frankfurters.
8) Scatterplots
Language
English
Description
Plotting annual numbers of Florida powerboat registrations and manatee killings suggests an uncomfortable relationship for the marine mammals.
11) One-Way ANOVA
Language
English
Description
Does holding a heavier clipboard make you estimate that a jar of coins has more money in it than if you're holding a lighter clipboard? Psychologists use One-Way ANOVA to analyze the data from this experiment.
12) Stemplots
Language
English
Description
As a first step in visualizing data, this film focuses on the use of stem plots to understand raw data. The U.S. Army experienced an equipment shortage and as a result used statistics to ensure soldiers are properly outfitted for war. Data from soldiers' foot measurements and Toyota's fuel efficient vehicles are transformed in stem plots.
14) Correlation
Language
English
Description
Twin studies track how similar identical and fraternal twins are on various characteristics, even if they don't grow up together. Correlation lets researchers put a number on it.
18) Summary
Language
English
Description
This review of the 31 video modules provides an overview of the practice of statistics and helps students appreciate how statistical methods can help them better understand the world.
20) Random Variables
Language
English
Description
The Challenger space shuttle disaster was blamed on faulty O-rings. How can probability calculations on random variables help predict the chances of this kind of failure?