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Everyday Statistics, with Eddie Davila

Everyday Statistics, with Eddie Davila

5h 51mGeneral2021-06-28

Authors

Eddie Davila

Eddie Davila

Associate Chair for the ASU Supply Chain Management program

Course details

Statistics help us make sense of the world around us. These numbers help everyone from political pollsters to fantasy football aficionados make informed calls based on the mountains of data at their disposal. In this weekly series, learn how to decode the statistics that pop up on a daily basis. Eddie Davila explores a new eclectic, real-world topic each week. Learn how stats are used to find the average score on a test, how casinos use stats to ensure that the house will usually win, and more.

Skills covered

Serial (Weekly)StatisticsData Science

Concepts

0. Introduction

  • 01 - The statistics of everyday life

Previous Installments

  • 02 - Political polls
  • 03 - Different sports, different stats
  • 04 - Test scores
  • 05 - Data collection
  • 06 - Birthdays in the USA
  • 07 - The house always wins
  • 08 - Wisdom of the crowd
  • 09 - The pay gap at Uber
  • 10 - Cancer survival rates
  • 11 - Television ratings
  • 12 - Historic stats stories
  • 13 - The one percent
  • 14 - New Year's Eve
  • 15 - Influenza
  • 16 - Winter is coming
  • 17 - The Super Bowl
  • 18 - Genetics
  • 19 - Relationships
  • 20 - The box office
  • 21 - Unemployment
  • 22 - Waiting in lines
  • 23 - Sleep
  • 24 - March Madness
  • 25 - Measuring what's important in business
  • 26 - Baseball
  • 27 - Income tax statistics
  • 28 - College waiting lists
  • 29 - The normal distribution is everywhere
  • 30 - Horse racing statistics
  • 31 - Statistics and the insurance industry
  • 32 - Restaurant statistics
  • 33 - Catching criminals with statistics
  • 34 - Getting directions from statistics
  • 35 - Lyme disease
  • 36 - Quality control in manufacturing
  • 37 - Zoo animal statistics
  • 38 - Earthquakes
  • 39 - Statistics of hunting
  • 40 - Transcontinental convoy
  • 41 - Moon landing
  • 42 - Summer movies
  • 43 - Reliability
  • 44 - Woodstock
  • 45 - Hurricanes
  • 46 - P-hacking
  • 47 - Salaries
  • 48 - Dow Jones
  • 49 - Population
  • 50 - Epidemiology
  • 51 - Rock stars
  • 52 - Acceptance sampling
  • 53 - The value of my change
  • 54 - In-game win probabilities
  • 55 - Stock market ups and downs
  • 56 - Prohibition
  • 57 - Bayes' theorem
  • 58 - Divorce
  • 59 - The U.S. Census
  • 60 - English
  • 61 - Santa Claus
  • 62 - Parenting
  • 63 - Proportions of coins
  • 64 - Safe travel
  • 65 - Election polling methodologies
  • 66 - Is your data any good
  • 67 - Storytelling with data
  • 68 - The middle of my data
  • 69 - The ubiquitous bell curve
  • 70 - Decoding polling results
  • 71 - What is an outlier
  • 72 - Statistical bias
  • 73 - The importance of regression analysis
  • 74 - Understanding probabilities
  • 75 - Statistics tools
  • 76 - Modern organizations use statistics
  • 77 - Combinations
  • 78 - Measuring variation
  • 79 - Sample space
  • 80 - Election win probabilities
  • 81 - Cognitive bias
  • 82 - Forecasting
  • 83 - Toilet paper
  • 84 - Winning streaks
  • 85 - Coffee
  • 86 - Vaccines
  • 87 - Superfans
  • 88 - US Presidents
  • 89 - The cost of owning a pet
  • 90 - Funny movies
  • 91 - Success in the music industry
  • 92 - Home Improvement
  • 93 - Youth sports
  • 94 - Mental health
  • 95 - Chocolate
  • 96 - Baby statistics
  • 97 - Books
  • 98 - Commutes
  • 99 - Farms
  • 100 - Hip hop
  • 101 - Mass transit
  • 102 - Major league baseball
  • 103 - Placebos
  • 104 - Podcasts
  • 105 - Social media
  • 106 - Supply chains

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