MATH 4710: Basic Probability
A rigorous mathematical introduction to probability theory. Covers sample spaces, combinatorial probability, discrete and continuous random variables, joint probability distributions, expectations, variance, moment generating functions, the Law of Large…
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Common aliases: MATH 4710
Study Resources for Basic Probability
Midterm (Exam 1) 2012
Midterm (Exam 2) 2019
Final Exam 2014
Midterm (Exam 1) 2014
Midterm (Exam 1) 2015
Midterm (Exam 1) 2016
Midterm (Exam 1) 2018
Midterm (Exam 1) 2019
Midterm (Exam 1) 2020
Worksheet 9
Assessment Inventory for MATH 4710 (10 Documents)
| Document | Format | Year | Access |
|---|---|---|---|
| Midterm (Exam 1) 2020 | Midterm | 2020 | Illustrative Archive |
| Midterm (Exam 2) 2019 | Midterm | 2019 | Illustrative Archive |
| Midterm (Exam 1) 2019 | Midterm | 2019 | Illustrative Archive |
| Midterm (Exam 1) 2018 | Midterm | 2018 | Illustrative Archive |
| Midterm (Exam 1) 2016 | Midterm | 2016 | Illustrative Archive |
| Midterm (Exam 1) 2015 | Midterm | 2015 | Illustrative Archive |
| Final Exam 2014 | Final | 2014 | Illustrative Archive |
| Midterm (Exam 1) 2014 | Midterm | 2014 | Illustrative Archive |
| Midterm (Exam 1) 2012 | Midterm | 2012 | Illustrative Archive |
| Worksheet 9 | Worksheet | — | Illustrative Archive |
Complete inventory of all 10 assessments (sorted by most recent). Select any document to inspect or use the search bar above to filter.
Course Overview & Exam Syllabus
Course Description
A rigorous mathematical introduction to probability theory. Covers sample spaces, combinatorial probability, discrete and continuous random variables, joint probability distributions, expectations, variance, moment generating functions, the Law of Large Numbers, and the Central Limit Theorem.
This archive catalogs 10 free educational resources and past exams for MATH 4710 (Basic Probability) at Cornell University, containing 8 midterm papers, 1 final examination, and 1 worksheet. Dated documents represent 7 distinct academic years between 2012 and 2020.
Core Exam Topics & Learning Objectives
- Probability theory: sample spaces, conditional probability, Bayes' Theorem, and random variables in MATH 4710
- Probability distributions: discrete (Binomial, Poisson, Geometric) and continuous (Normal, Uniform, Exponential) models
- Inferential statistics: Central Limit Theorem, confidence interval estimation, and hypothesis testing (t-tests, ANOVA, Chi-Square)
- Regression analysis: simple/multiple linear regression, correlation coefficients, R-squared, and residual diagnostics in Basic Probability
Frequently Asked Questions
Which assessment formats are cataloged in this MATH 4710 archive?
This collection for MATH 4710 at Cornell University catalogs 10 total resources across the following formats: Midterms, Finals, Worksheets. Each document is listed in the assessment inventory table with its individual format tag and academic year where recorded.
What academic years are covered in this MATH 4710 collection?
Dated materials in this archive span from 2012 to 2020, representing 7 distinct academic years. Coverage varies by the records currently cataloged for this course.
How can students access these free MATH 4710 past exams?
All cataloged MATH 4710 past exams and study materials are free to request. The catalog, metadata, assessment inventory, and illustrative thumbnails are public; source documents are not shown on this page. Use the connect options to request a study resource, and confirm current course topics and grading policies with the Cornell University course syllabus.