To plot the probability density function for a t distribution in R, we can use the following functions: dt(x, df) to create the probability density function…
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One of the key assumptions in linear regression is that there is no correlation between the residuals, e.g. the residuals are independent. One way to…
Hierarchical regression is a technique we can use to compare several different linear models. The basic idea is that we first fit a linear regression model…
A repeated measures ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more groups in which…
Levene’s Test is used to determine whether two or more groups have equal variances. This is a widely used test in statistics because many statistical tests…
A Kruskal-Wallis Test is used to determine whether or not there is a statistically significant difference between the medians of three or more independent groups.…
The Friedman Test is a non-parametric alternative to the Repeated Measures ANOVA. It is used to determine whether or not there is a statistically significant difference between the means of…
A doughnut chart is a circular chart that uses “slices” to display the relative sizes of data. It’s similar to a pie chart except it has a…
We often use the odds ratio and relative risk when performing an analysis on a 2-by-2 table, which takes on the following format: The odds ratio tells us the ratio of…
A box plot is a type of plot that we can use to visualize the five number summary of a dataset, which includes: The minimum The first…