Exactly like a class, at set times and with an expert instructor. You will attend our renowned in-person classes at your chosen location. Problem analysis and problem solving; Statistical computing; Report writing. You will have access to a structured course of modules involving quizzes, tests and real world case studies with a final test to achieve your Certificate.
The second part of the course covers logistic regression and other models for categorical data. University of Southampton Course Type: Transferable and Generic Having successfully completed this module, you will be able to: If an On Demand version of the class is available, you will receive that for your learning records post-class at no additional cost.
After a brief review of simple linear regression, the first part focuses on multiple linear regression. You will receive access to a recording of the class for your learning records at no additional cost.
The module aims to provide a firm understanding of the use of these methods and their practical application in a range of disciplinary contexts.
Syllabus The module is split into three parts. Work from laptops at our class desks, with expert faculty and fellow professionals learning alongside you. Southampton, United Kingdom Duration: Our support forum allows you to ask questions and receive feedback to specific problems.
You will access our online learning environment and connect to a live class environment with stunning video clarity, networking with other students and receiving all the class materials. Knowing our faculty are just a simple message away in our online support forums.
Breakfast and lunch are provided.
To be announced Location: Demonstrate knowledge and understanding of the basic ideas behind several commonly used statistical methods for analysing multivariate data - multiple linear regression, logistic regression and other models for categorical data, principal components analysis, and factor analysis; Analyse quantitative data by applying these methods using SPSS and interpret the findings; Write statistical reports based on these analyses.
The final part of the module covers the data reduction methods of principal component analysis and factor analysis. Build your skills and network in the shortest time possible. You will be treated with the same care and attention as our classroom students.
This course is a module of: Aims and objectives Knowledge and Understanding Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:Quantitative Methods II.
This is a page for the students of Quantitative Methods II, a course that is taught at Bocconi University. Intended as a continuation of API, Advanced Quantitative Methods I, this course focuses on developing the theoretical basis and practical application of the most common tools of empirical analysis including non-linear models, instrumental variables, and panel data.
Foundations of analysis will be coupled with hands-on examples and assignments involving the analysis of data sets. Here is the best resource for homework help with MGSC Quantitative Methods II at Saint Marys University Halifax. Find MGSC study guides, notes, and. In testing the difference between two population means using two independent samples, the sampling distribution of the sample mean difference is normal if.
This is the second course in a three-course sequence on quantitative political methodology, by which we mean the application of statistical methods to problems in political science and public policy. The goal. Quantitative methods II · February 23, · Cape Coast, Ghana · Pls this is a purely academic page.i will entreat you to desist from posting pictures here.Download