Study abroad in Edinburgh

Course finder

Semester 1

Statistics and Quantitative Methods (Semester 1) (LASC10118)

Subject

Language Sciences and Linguistics

College

CAHSS

Credits

20

Normal Year Taken

3

Delivery Session Year

2022/2023

Pre-requisites

Visiting student must have completed at least 3 Linguistics/Language Sciences courses at grade B or above. We will only consider University/College level courses. This course cannot be taken alongside Statistics and Quantitative Methods Semester 2 (LASC10119). **The Language Sciences courses offered at the University of Edinburgh are extremely intensive and visiting students have struggled with these courses in previous years. Students are expected to have a strong background in Linguistics as an academic discipline; courses that are part of a Modern Foreign Languages degree may not provide students with an adequate background**

Course Summary

This course is an introduction to study design, statistics and quantitative data analysis as commonly employed in linguistics, using the R software.

Course Description

The course will cover the basics of statistics and quantitative data analysis, and how to design studies that effectively address the intended research questions. Students will learn the principles of data visualisation and statistical modelling and develop the practical skills necessary to perform such analyses. The course will draw examples from different branches of linguistics and will provide students with hands-on experience in open science practices. The course will teach students how to carry out statistical inference using Null Hypothesis Significance Testing and how to correctly interpret p-values and confidence intervals.

Assessment Information

Written Exam 0%, Coursework 100%, Practical Exam 0%

view the timetable and further details for this course

Disclaimer

All course information obtained from this visiting student course finder should be regarded as provisional. We cannot guarantee that places will be available for any particular course. For more information, please see the visiting student disclaimer:

Visiting student disclaimer