From the course: Everyday Statistics, with Eddie Davila
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Unemployment
From the course: Everyday Statistics, with Eddie Davila
Unemployment
- [Instructor] Each month, the Bureau of Labor Statistics, or BLS, publishes employment data. They announce the total jobs lost or gained, as well as the unemployment rate. Statistics plays a role in both calculating the numbers, and interpreting what those numbers might mean. Let's focus on the unemployment rate. Suppose the unemployment rate is announced as 4%, that sounds pretty easy to understand. Four out of every 100 people are out of a job, but let's dig into those numbers just a bit. Let's first consider the denominator. This would be what is called the civilian labor force. It's not representative of the entire population. This includes all working-age people that either want a job or have one. This number does not include children, people in long-term care, people in the military, or those in prison. Of those that are part of the civilian labor force, the people that do not have a job, and are actively looking for a job, they would be counted among the unemployed. They are…
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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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