Against All Odds: Inside Statistics

Season 1
10:00

Season 1, Episode 11 - Correlation

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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.
12:00

Season 1, Episode 7 - Normal Calculations

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Visit the Boston Beanstalks club for tall people. Height is normally distributed and we can use membership cutoffs and population data to calculate z-scores.
08:00

Season 1, Episode 5 - Standard Deviation

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How can we compare sales at two franchises in the Wahoo's restaurant chain? Standard deviation helps us quantify the variability in sales.
09:00

Season 1, Episode 4 - Boxplots

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Using the example of hot dog calorie counts, we use boxplots to visualise the five-number summary and make comparisons between different types of frankfurters.
07:00

Season 1, Episode 3 - Measures Of Center

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It's helpful to know the centre of a distribution - which is what the clerical workers in Colorado Springs found out in the 1980s when they campaigned for comparable wages for comparable work.
14:00

Season 1, Episode 29 - Inference For Regression

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Historical story of how statisticians built the case against DDT as the culprit behind plummeting peregrine falcon population numbers.
10:00

Season 1, Episode 27 - Inference For Proportions

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Managers have no clue what conditions actually motivate their workers best, as shown by research conducted by Teresa Amabile, host of the original Against All Odds.
11:00

Season 1, Episode 1 (Stemplots)

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As a first step in visualizing data, we use stemplots to understand measurements taken by the U.S. Army when they size up soldiers in order to design well-fitting gear and supplies for modern warfighters.
15:00

Season 1, Episode 21 (Sampling Distributions)

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Heights of third graders in one class. Quality scores for circuit boards at a factory. Taking multiple samples allows us to visualise the sampling distribution of the sample mean.
16:00

Season 1, Episode 20 (Binomial Distributions)

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Sickle cell disease is an example of binomial distribution in families with two parents who are carriers for this genetic trait.
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