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Subscribe to RichardOnData here: https://www.youtube.com/channel/UCKPyg5gsnt6h0aA8EBw3i6A?sub_confirmation=1 Patreon: https://www.patreon.com/richardondata In this video, I discuss the differences between z-tests and t-tests, and when to use each one, complete with where the Central Limit Theorem fits into the difference. I do assume in this video you've got a working knowledge of the normal distribution and z-scores, confidence intervals, and hypothesis testing. If not, I do have videos on these topics: Normal Distribution and Z-Scores | Statistics Tutorial 003: https://youtu.be/rAXQCHXcZfY Central Limit Theorem | Statistics Tutorial 006: https://youtu.be/El9R8pyN1MI Confidence Intervals and Confidence Level | Statistics Tutorial 007: https://youtu.be/O-i1AMnQn4Q Hypothesis Testing Steps | Statistics Tutorial 008: https://youtu.be/XuO7Z7q3YVU Z vs. T distributions: https://www.dummies.com/education/math/statistics/how-to-tell-a-z-distribution-from-a-t-distribution/ Z* table: https://www.dummies.com/education/math/statistics/finding-appropriate-z-values-for-given-confidence-levels/ Standard normal probability table: https://www.math.arizona.edu/~rsims/ma464/standardnormaltable.pdf t-table: https://www.sjsu.edu/faculty/gerstman/StatPrimer/t-table.pdf PayPal: [email protected] Patreon: https://www.patreon.com/richardondata BTC: 3LM5d1vibhp1F7pcxAFX8Ys1DM6XLUoNVL ETH: 0x3CfC599C4c1040963B644780a0E62d45999bE9D8 LTC: MH8yPjvSmKvpmRRmufofjRB9hnRAFHfx32

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