|This event spans multiple dates:|
|24 Feb 2022||14:00 to 15:00||Online event|
|3 Mar 2022||14:00 to 15:00||Online event|
|10 Mar 2022||14:00 to 15:00||Online event|
|17 Mar 2022||14:00 to 15:00||Online event|
Making Sense of Statistics: An Introduction to Understanding and Conducting Statistical Analyses
This course will introduce participants to key concepts in statistical analyses, including statistical significance, effect sizes, and linear models. The goal is to give participants the basic tools they need to understand the use of statistical methods by others and use these methods effectively in their own research.
We will focus on an intuitive and practical understanding of statistical analyses rather than the mathematical details underlying them. As such, the course will be accessible for those without a quantitative background, although it will help to know basic descriptive statistics (e.g., mean and standard deviation).
The course will cover (approximately) the following topics:
Session 1: statistical significance and statistical tests (including hypothesis testing, p-values, statistical power, t-test, and chi-square test).
Session 2: effect sizes, correlation, confidence intervals, and outliers.
Session 3: linear regression (including simple/multiple regression, residuals, beta coefficients, and R-Squared).
Session 4: linear regression continued (test statistics, standard errors, centering, interaction, categorical predictors, linear models, and assumption testing).
This workshop is open to graduate students and staff at the University of Cambridge. In addition, it is relevant for any DH researchers who might encounter statistical analyses in their work and do not already have a strong statistics background. Places are limited and available to book via UTBS.