Apr 6, 2021Stats Learning Week 5In this week, we’ve reviewed about some important distributions, such as binomial distribution, geometric distribution, Poisson distribution, and so on. Also, we’ve learned about linear mixed model, which is a model we need to use when linear regression model is not feasible. …1 min read1 min read
Apr 5, 2021Stats Learning Week 4In week 4 study, we’ve learned about the clear definition of observational unit(level-1) and the grouping units(level-2), which we have to clarify them in a real experiments. …2 min read2 min read
Apr 1, 2021Stats Learning Week 3In week 3, we learned about confounding variables and study design. Confounding variable s a variable that will both affect the explanatory and response variable, which we have to be aware of when carrying out a study design, otherwise, an incorrect conclusion is very likely to be conducted. For example…3 min read3 min read
Mar 31, 2021Stats learning Week 2In week 2, we learned about several useful packages in R, for example, ggplot2, dplyr, readr, sgringr, janitor, forcats, and tydyverse. Generally, these packages are very useful when doing data wrangling and data visualization. …3 min read3 min read
Mar 31, 2021Stats Learning Week 1Stats Learning Week 1 In Week 1, we generally reviewed what we learned from linear regression model and the key assumptions of linear regression. Four assumptions should be satisfied before fitting a linear model: Linear relationship Errors are independent Errors are normally distributed Homoscedasticity The model are in the following…2 min read2 min read
