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18.05 | Spring 2014 | Undergraduate

# Introduction to Probability and Statistics

#### Assignments

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Problem Set 1
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Solutions to Problem Set 1
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Problem Set 2
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Solutions to Problem Set 2
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Problem Set 3
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Solutions to Problem Set 3
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Problem Set 4
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Solutions to Problem Set 4
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Problem Set 5
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Solutions to Problem Set 5
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#### Exams

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Final Exam
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Final Exam Practice Questions
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Solutions to Final Exam
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Solutions to Final Exam Practice Questions
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Exam 1
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Exam 1 Practice Questions I
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Exam 1 Practice Questions II
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Exam 1 Practice Questions: Long List
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Solutions to Exam 1
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Solutions to Exam 1 Practice Questions I
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#### Lecture Notes

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Class 1 Slides: Introduction, counting and sets
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Class 1 Slides: Introduction, counting and sets
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Slides for Class 1: Introduction, Counting and Sets
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Class 2 Slides: Probability basics
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Class 2 Slides: Probability basics
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Reading for Class 2: Probability: Terminology and Examples
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Class 3 Slides: Conditional probability, Bayes' theorem
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Class 3 Slides: Conditional probability, Bayes' theorem
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Class 4 Slides: Discrete random variables, expectation
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Class 4 Slides: Discrete random variables, expectation
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#### Readings

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Reading 1a: Introduction
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Reading 1a: Introduction
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Reading 1b: Counting and Sets
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Reading for Class 1: Introduction
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Reading for Class 1: Introduction
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Reading 2: Probability: Terminology and Examples
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Reading for Class 2: Probability: Terminology and Examples
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Reading 3: Conditional Probability, Indepedence and Bayes' Theorem
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Reading 4a: Discrete Random Variables
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Reading 4b: Discrete Random Variables: Expected Value
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## Course Info

##### Instructors

- Dr. Jeremy Orloff
- Jonathan Bloom

##### Departments

- Mathematics

##### As Taught In

Spring 2014

##### Level

Undergraduate

##### Topics

- Mathematics
  - Discrete Mathematics
  - Probability and Statistics

##### Learning Resource Types

assignment_turned_in Problem Sets with Solutions
grading Exams with Solutions
notes Lecture Notes
co_present Instructor Insights
theaters Other Video

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