Law of Large Numbers

This statistics video tutorial provides a basic introduction into the law of large numbers. The basic idea behind this law is that the observed probability approaches the theoretical probability as the number of experimental trials increases.

Introduction to Probability:

Central Limit Theorem:

Standard Error of The Mean:

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Confidence Intervals & Margin of Error:

Find The Z-Score Given Confidence Interval:

How To Calculate The Sample Size:

Student's T-Distribution:

Confidence Interval-Population Proportion:

Chebyshev's Theorem:

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Hypothesis Testing - Null & Alternative:

Type I and Type II Errors:

One Tailed and Two Tailed Tests:

Test Static For Means & Pop Proportions:

Hypothesis Testing Problems:

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Final Exams and Video Playlists:

Full-Length Videos and Worksheets:

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[valentindo]

Besides the high quality math, who else was about to laugh when he said " probability of getting 4 heads"?

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[artkirakosyan]

You missed the best part of it. Lets say somebody weighs 160 pounds exactly. If you show his picture to 100 people and then to 1000, the larger of tests will be closer to 160 lbs. it doesn’t mean it will be close to 160lb, but it will be closer if you ask to guess 1000 times instead of 100 times.

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What if i flip 10 coins and get 10 head will the probability changed to 100 percent in getting heads? Or consistency with various is needed to conclude?

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