This statistics video tutorial provides a basic introduction into the central limit theorem. It explains that a sampling distribution of sample means will form the shape of a normal distribution regardless of the shape of the population distribution if a large enough sample is taken from the population.

Introduction to Statistics:
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Introduction to Probability:
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Central Limit Theorem:
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Standard Error of The Mean:
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Confidence Intervals & Margin of Error:
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Find The Z-Score Given Confidence Interval:
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How To Calculate The Sample Size:
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Student's T-Distribution:
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Confidence Interval-Population Proportion:
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Chebyshev's Theorem:
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Hypothesis Testing - Null & Alternative:
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Type I and Type II Errors:
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One Tailed and Two Tailed Tests:
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Test Static For Means & Pop Proportions:
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Hypothesis Testing Problems:
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Final Exams and Video Playlists:
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Full-Length Videos and Worksheets:
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