STA 3000: Statistical Computing
Introduces computational techniques for statistical data analysis and statistical programming, emphasizing data transformation, simulation, non-parametric tests, and advanced statistical modeling utilizing contemporary statistical programming packages.
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Common aliases: STA 3000
Study Resources for Statistical Computing
Final Exam 2015
Midterm (Exam 1) 2014
Midterm (Exam 2) 2010
Midterm (Exam 1) 2016
Midterm (Exam 1) 2019
Midterm (Exam 1) 2020
Study Guide 7
STA3000 Syllabus Yue - STA 3000 Page - 1 STA 3000
Comprehensive Guide to STA 3000 Final Project Requirements
STA3000-Syllabus-Fall2020 - STA 3000 Page - 1 STA 3000
Project1 3 - STA 3000 - Data analysis project 1 Spring
Master Statistical Computing with R: Course Overview for STA
STA3000-Fall2020-Statistical Computing Course Syllabus
Homework 4: R Script Solutions for Data Analysis Tasks
Assessment Inventory for STA 3000 (14 Documents)
| Document | Format | Year | Access |
|---|---|---|---|
| Midterm (Exam 1) 2020 | Midterm | 2020 | Illustrative Archive |
| STA3000-Syllabus-Fall2020 - STA 3000 Page - 1 STA 3000 | Syllabus | 2020 | Illustrative Archive |
| STA3000-Fall2020-Statistical Computing Course Syllabus | Syllabus | 2020 | Illustrative Archive |
| Midterm (Exam 1) 2019 | Midterm | 2019 | Illustrative Archive |
| Midterm (Exam 1) 2016 | Midterm | 2016 | Illustrative Archive |
| Final Exam 2015 | Final | 2015 | Illustrative Archive |
| Midterm (Exam 1) 2014 | Midterm | 2014 | Illustrative Archive |
| Midterm (Exam 2) 2010 | Midterm | 2010 | Illustrative Archive |
| Study Guide 7 | Study Guide | — | Illustrative Archive |
| STA3000 Syllabus Yue - STA 3000 Page - 1 STA 3000 | Syllabus | — | Illustrative Archive |
| Comprehensive Guide to STA 3000 Final Project Requirements | Final | — | Illustrative Archive |
| Project1 3 - STA 3000 - Data analysis project 1 Spring | Resource | — | Illustrative Archive |
| Master Statistical Computing with R: Course Overview for STA | Resource | — | Illustrative Archive |
| Homework 4: R Script Solutions for Data Analysis Tasks | Homework | — | Illustrative Archive |
Complete inventory of all 14 assessments (sorted by most recent). Select any document to inspect or use the search bar above to filter.
Course Overview & Exam Syllabus
This archive catalogs 14 free educational resources and past exams for STA 3000 (Statistical Computing) at Baruch College, containing 5 midterm papers, 2 final examinations, 1 worksheet, 4 study guides, and 2 supplemental resources. Dated documents represent 6 distinct academic years between 2010 and 2020.
Core Exam Topics & Learning Objectives
- Probability theory: sample spaces, conditional probability, Bayes' Theorem, and random variables in STA 3000
- 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 Statistical Computing
Frequently Asked Questions
Which assessment formats are cataloged in this STA 3000 archive?
This collection for STA 3000 at Baruch College catalogs 14 total resources across the following formats: Midterms, Finals, Worksheets, Study Guides. 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 STA 3000 collection?
Dated materials in this archive span from 2010 to 2020, representing 6 distinct academic years. Coverage varies by the records currently cataloged for this course.
How can students access these free STA 3000 past exams?
All cataloged STA 3000 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 Baruch College course syllabus.