Class Notes for Dot Miners

BROCK UMATH 1P98Dot MinersFall

Chapter 5 - Class #8

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BROCK UMATH 1P98Dot MinersFall

MATH1P98 Definitions

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BROCK UMATH 1P98Dot MinersFall

MATH 1P98 Lecture Notes - Standard Deviation

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BROCK UMATH 1P98Dot MinersFall

MATH 1P98 Determining Classes, Freq. and Normal Distribution

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BROCK UMATH 1P98Dot MinersFall

MATH 1P98 Lecture Notes - Cookie Dough

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BROCK UMATH 1P98Dot MinersFall

MATH 1P98: Binomial Probabilities

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BROCK UMATH 1P98Dot MinersFall

MATH 1P98: 'Chosing' Probabilities

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BROCK UMATH 1P98Dot MinersFall

MATH 1P98: Poisson Probability

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Poisson probability: large # of trials; n>100. Small probability of success; np<10: an observed probability of success over a given time period; num of
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BROCK UMATH 1P98Dot MinersFall

MATH 1P98: Cumulative Probabilities

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BROCK UMATH 1P98Dot MinersFall

MATH 1P98 Lecture Notes - Test Statistic

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BROCK UMATH 1P98Dot MinersFall

MATH 1P98 Lecture Notes - Food Cart

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BROCK UMATH 1P98Dot MinersFall

MATH 1P98 Lecture Notes - Central Limit Theorem, Standard Deviation

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Part 1: suppose we have a distribution on x that appears to be normal (symmetrical at x-axis aka mean [ ], area beneath curve = 1, bell shaped curve).
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