From the course: Everyday Statistics, with Eddie Davila
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Dow Jones
From the course: Everyday Statistics, with Eddie Davila
Dow Jones
- [Instructor] Over 90 years ago, on September 4th, 1929, the Dow Jones Industrial Average hit an all-time high of 381. But on October 28th, 1929, the stock market crashed. The Dow Jones lost 12% of its total value and it lost another 11% on the following day and for the next three years, it continued to fall. In July 1932, if bottomed out at 41, about an 89% drop from the September 4th, 1929 high. This, of course, was The Great Depression. And, of course, the Dow Jones was used as a method to track this massive economic slump, but what exactly is the Dow Jones? Well, in the beginning, the Dow Jones was just the average stock price of these 12 stocks. Why these stocks? Well, these were the 12 stocks that were deemed representative of the entire U.S. economy at that time. As the U.S. economy evolved, so did the Dow Jones stocks. The representative stocks changed and more were added. By 1929, the Dow was made up of these 30 stocks. Furthermore, some companies merged and other economic…
Contents
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Political polls3m 14s
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Different sports, different stats4m 42s
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Test scores2m 59s
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Data collection2m 40s
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Birthdays in the USA3m 15s
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The house always wins4m 1s
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Wisdom of the crowd3m 12s
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The pay gap at Uber3m 58s
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Cancer survival rates4m 22s
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Television ratings4m 15s
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Historic stats stories4m 28s
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The one percent3m 58s
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New Year's Eve3m 28s
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Influenza3m 17s
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Winter is coming3m 11s
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The Super Bowl4m 39s
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Genetics3m 45s
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Relationships3m 48s
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The box office2m 39s
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Unemployment2m 41s
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Waiting in lines4m 29s
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Sleep2m 56s
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March Madness4m 43s
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Measuring what's important in business3m 28s
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Baseball4m 41s
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Income tax statistics1m 49s
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College waiting lists4m 26s
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The normal distribution is everywhere2m 53s
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Horse racing statistics3m 45s
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Statistics and the insurance industry2m 35s
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Restaurant statistics2m 43s
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Catching criminals with statistics2m 55s
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Getting directions from statistics2m 43s
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Lyme disease2m 55s
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Quality control in manufacturing2m 36s
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Zoo animal statistics2m 41s
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Earthquakes2m 54s
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Statistics of hunting2m 48s
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Transcontinental convoy2m 7s
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Moon landing3m 44s
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Summer movies2m 56s
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Reliability3m 47s
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Woodstock3m 44s
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Hurricanes2m 47s
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P-hacking2m 49s
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Salaries2m 51s
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Dow Jones3m
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Population3m 23s
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Epidemiology2m 55s
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Rock stars3m 44s
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Acceptance sampling3m 18s
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The value of my change4m 42s
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In-game win probabilities3m 39s
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Stock market ups and downs3m 18s
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Prohibition3m 30s
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Bayes' theorem4m 15s
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Divorce3m 35s
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The U.S. Census3m 26s
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English3m 8s
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Santa Claus3m 47s
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Parenting3m 6s
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Proportions of coins4m 53s
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Safe travel3m 23s
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Election polling methodologies2m 57s
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Is your data any good?3m 44s
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Storytelling with data2m 41s
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The middle of my data3m 21s
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The ubiquitous bell curve3m 23s
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Decoding polling results3m 27s
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What is an outlier?3m 15s
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Statistical bias3m 45s
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The importance of regression analysis3m 38s
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Understanding probabilities3m 23s
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Statistics tools3m 19s
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Modern organizations use statistics3m 16s
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Combinations3m 46s
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Measuring variation3m 55s
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Sample space3m 51s
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Election win probabilities3m 41s
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Cognitive bias4m
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Forecasting3m 13s
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Toilet paper4m 5s
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Winning streaks3m 6s
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Coffee3m 6s
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Vaccines2m 44s
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Superfans2m 50s
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US Presidents2m 51s
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The cost of owning a pet2m 45s
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Funny movies3m 23s
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Success in the music industry2m 23s
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Home Improvement3m 4s
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Youth sports3m 30s
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Mental health2m 43s
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Chocolate2m
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Baby statistics2m 30s
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Books2m 48s
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Commutes2m 43s
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Farms2m 15s
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Hip hop2m 50s
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Mass transit2m 43s
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Major league baseball3m 19s
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Placebos2m 54s
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Podcasts2m 13s
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Social media2m 44s
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Supply chains2m 51s
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