Against All Odds: Inside Statistics

Season 1

Picking up where the original 'Against All Odds' series finished, this series maintains the same emphasis on “doing” statistics. Through real-world examples, Dr. Pardis Sabeti guides viewers through the wide range of statistical applications used by scientists, business owners, and even Shakespeare scholars, in their work and daily lives.

Where to Watch Season 1

32 Episodes

  • What Is Statistics?
    E1
    What Is Statistics?Statistics is the art and science of gathering, organizing, analyzing and drawing conclusions from data. And without rudimentary knowledge of how it works, people can’t make informed judgments and evaluations of a wide variety of things encountered in daily life.
  • Stemplots
    E2
    StemplotsAs 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.
  • Histograms
    E3
    HistogramsMeteorologists use histograms to map when lightning strikes and this visualization technique helps them understand the data in new ways.
  • Measures of Center
    E4
    Measures of CenterIt's helpful to know the center 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. Mean and median are two different ways to describe the center.
  • Boxplots
    E5
    BoxplotsUsing the example of hot dog calorie counts, we use boxplots to visualize the five-number summary and make comparisons between different types of frankfurters.
  • Standard Deviation
    E6
    Standard DeviationHow can we compare sales at two franchises in the Wahoo's restaurant chain? Standard deviation helps us quantify the variability in sales.
  • Normal Curves
    E7
    Normal CurvesA nature preserve that's tracked bird migrations through New England for decades records tons of bird-related data; everything from wingspan measurements to arrival dates provides examples of normal distributions.
  • Normal Calculations
    E8
    Normal CalculationsVisit the Boston Beanstalks club for tall people. Height is normally distributed and we can use membership cutoffs and population data to calculate z-scores.
  • Checking Assumption of Normality
    E9
    Checking Assumption of NormalityProduction at Pete and Gerry's Organic Eggs provides a number of distributions that look normal — but are they?
  • Scatterplots
    E10
    ScatterplotsPlotting annual numbers of Florida powerboat registrations and manatee killings suggests an uncomfortable relationship for the marine mammals.
  • Fitting Lines to Data
    E11
    Fitting Lines to DataWinter snowpack in the Colorado Rockies can predict spring water supply. Plotting annual measurements in a scatterplot lets resource managers draw a regression line that helps them forecast water availability.
  • Correlation
    E12
    CorrelationTwin 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.
  • Two-Way Tables
    E13
    Two-Way TablesOne city surveyed the happiness of its residents. Two-way tables help organize the data and tease out relationships between happiness levels and opinions about aspects of the city itself.
  • The Question of Causation
    E14
    The Question of CausationThis historical story describes how researchers untangled the relationship between smoking and lung cancer.
  • Designing Experiments
    E15
    Designing ExperimentsWe move beyond observational studies — like one of marine life in the remote Line Islands — to designing experiments that manipulate various subject groups — as in the case of a medical study about osteoarthritis treatments.
  • Census and Sampling
    E16
    Census and SamplingThe U.S. counts every resident every ten years — or at least tries to. Statisticians use sampling from a population as an alternative to a complete count, as utilized at a potato chip factory.
  • Sample and Surveys
    E17
    Sample and SurveysA visit to the University of New Hampshire Survey Center illustrates how pollsters create accurate surveys. They can then use details from their sample to make inferences about a whole population.
  • Introduction to Probability
    E18
    Introduction to ProbabilityProbability is the mathematics of chance behavior — and can help predict events such as the daily weather, or whether an asteroid will collide with Earth.
  • Probability Models
    E19
    Probability ModelsCasinos are as well versed in probability as statisticians and probability models help them maintain the house advantage over gamblers.
  • Random Variables
    E20
    Random VariablesThe 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?
  • Binomial Distributions
    E21
    Binomial DistributionsSickle cell disease is an example of binomial distribution in families with two parents who are carriers for this genetic trait.
  • Sampling Distributions
    E22
    Sampling DistributionsHeights of third graders in one class. Quality scores for circuit boards at a factory. Taking multiple samples allows us to visualize the sampling distribution of the sample mean.
  • Control Charts
    E23
    Control ChartsThis quality control method helped Quest Diagnostics streamline and improve their system for processing and testing lab samples so they could meet their nightly deadlines.
  • Confidence Intervals
    E24
    Confidence IntervalsA battery manufacturer tests just a sample of its product to verify its claims about battery life. A margin of error and a confidence level help quantify its accuracy.
  • Tests of Significance
    E25
    Tests of SignificanceIs a newly-discovered poem really written by William Shakespeare? Using statistical analysis of his known word use, researchers set up null and alternative hypotheses to investigate.
  • Small Sample Inference for One Mean
    E26
    Small Sample Inference for One MeanA brewer uses this technique to monitor quality differences in multiple batches of the same beer.
  • Comparing Two Means
    E27
    Comparing Two MeansComparing the activity and calorie expenditure levels of Western office workers and African hunter gatherers adds some surprising new data to the science of obesity.
  • Inference for Proportions
    E28
    Inference for ProportionsManagers 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.
  • Inference for Two-Way Tables
    E29
    Inference for Two-Way TablesHost Dr. Pardis Sabeti's own research examines possible genetic resistance to deadly Lassa fever in West Africa. Using Inference for Two-Way Tables helps untangle potential relationships.
  • Inference for Regression
    E30
    Inference for RegressionHistorical story of how statisticians built the case against DDT as the culprit behind plummeting peregrine falcon population numbers.
  • One-Way ANOVA
    E31
    One-Way ANOVADoes 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.
  • Summary
    E32
    SummaryThis review of the course through the preceding 31 modules provides an overview of the practice of statistics and helps students appreciate how statistical methods can help them better understand their world.

Cast of Season 1

  • Pardis SabetiPresenter

 

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