Data Science and Machine Learning (Theory and Projects) A to Z - Experiment: Random Experiment

Data Science and Machine Learning (Theory and Projects) A to Z - Experiment: Random Experiment

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Information Technology (IT), Architecture, Religious Studies, Other, Social Studies, Physics, Science

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The video tutorial explains the concept of experiments in probability, focusing on the unpredictability of outcomes. It uses examples like tossing a fair coin and rolling a four-sided die to illustrate randomness. The tutorial emphasizes that experiments can have multiple outcomes, which are not predictable with certainty, hence termed as random experiments. It also discusses the interchangeability of terms like 'random experiment' and 'random trial'.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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