Home - DATA 606 - Statistics & Probability - Spring 2022_Internet

DATA 606 - Statistics & Probability - Spring 2022HomeAnnouncementsScheduleMeetupsSlackBlackboardGithubCUNY SPSDATA 606 Statistics & ProbabilitySpring 2021AnnouncementsBe sure to check this page regularly for updates.Bayesian AnalysisWed, May 4, 2022Click here to open the slides (PDF). Logistic RegressionWed, Apr 27, 2022Click here to open the slides (PDF). Multiple RegressionWed, Apr 13, 2022Click here to open the slides (PDF). Linear Regression (cont.)Wed, Apr 6, 2022Click here to open the slides (PDF). Linear RegressionWed, Mar 30, 2022Click here to open the slides (PDF). Inference for Numerical DataWed, Mar 23, 2022Click here to open the slides (PDF). Inference for Categorical DataWed, Mar 16, 2022Click here to open the slides (PDF). Foundation for Inference Part 2Wed, Mar 9, 2022Click here to open the slides (PDF). Foundation for Inference Part 1Wed, Mar 2, 2022Click here to open the slides (PDF). R Package DevelopmentTue, Mar 1, 2022Click here to open the slides (PDF). DistributionsWed, Feb 23, 2022Click here to open the slides (PDF). ProbabilityWed, Feb 16, 2022Click here to open the slides (PDF). Summarizing DataWed, Feb 9, 2022Click here to open the slides (PDF). Intro to DataWed, Feb 2, 2022Click here to open the slides (PDF). Intro to the CourseFri, Jan 28, 2022Click here to open the slides (PDF). Welcome to DATA606!Thu, Jan 13, 2022Welcome to DATA606! Your instructors will be Dr. Jason Bryer and Dr. Angela Lui. Couple of important notes as you get started: The course syllabus located here: https://spring2022.data606.net/course-overview. We will post all course materials there. Blackboard will be used primarily for submitting assignments. Please read the syllabus carefully! Send us any questions you may still have about the course. Complete this Google Form as soon as possible. We will use some of the data (in aggregate) in the meetup. Getting Started with RWed, Aug 25, 2021To get started with the labs, you will need to install R and other supporting applications. Links to download all the software is on the Software page which is also available on the Course Overview menu. Once you are in RStudio, you will need to install a number of R packages using the following two commands: Last updated on Wed May 4, 2022 Edit on GitHubPowered by Hugo. Theme by TechDoc. Designed by Thingsym.HomeSyllabus InstructorsScheduleMeetupsTextbooksSoftwareMath EquationsMaterials Assignments DAACSParticipationLabsProjectExamsHomework Chapters Chapter 1Chapter 2Chapter 3Chapter 4Chapter 5Chapter 6Chapter 7Chapter 8Chapter 9Bayesian