## Lec 05. Part 1

#### Lec 05. Perfect Competition -- Part 1

Instructor: Peter Navarro, Ph.D.

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**Introduction to Probability and Statistics B - UCI**
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Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approac

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This open course provides the student with review of intermediate algebra, geometry, and trigonometry. It is designed for those want to be successful in an introductory college calculus course, but wo

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17 lessons

This open course provides the student with review of intermediate algebra, geometry, and trigonometry. It is designed for those want to be successful in an introductory college calculus course, but wo

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**Introduction to Probability and Statistics A - UCI**
16 lessons

Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distribution

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**Math 1A/1B. Pre-Calculus: Functions and Graphs - UCI**
35 lessons

Description: UCI Math 1A/1B: Precalculus is designed to prepare students for a calculus course. This course is taught so that students will acquire a solid foundation in algebra and trigonometry. The

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**Physics 50: Math Methods - UCI**
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Description: Mathematica and its applications to linear algebra, differential equations, and complex functions. Fourier series and Fourier transforms. Other topics in integral transforms. Filmed Sprin

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**Machine Learning for Trading**
218 lessons

This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. The

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**Intro to Inferential Statistics**
490 lessons

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t

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