Download links and install guides for Jamovi and the Randomize module
Short variable names and the original survey question for each column in the class survey dataset
A made-up dataset of 160 students that the Jamovi and Randomize guides use, with the question behind each column
Filter, recode, summarize, and run a single-proportion hypothesis test in Jamovi with the Randomize module, start to finish
Enter counts, run a bootstrap confidence interval in Jamovi with the Randomize module, and read the output, start to finish
Compute SE and Z by hand, then get the two-sided p-value and the confidence-interval multiplier from Model-Based Inference in Jamovi’s Randomize module
Filter, recode, and build a contingency table with conditional proportions and a stacked bar plot in Jamovi, start to finish, using practice survey data
Filter, recode, and run a permutation test for a difference in two proportions in Jamovi with the Randomize module, using practice survey data
Filter, recode, and find a bootstrap confidence interval for a difference in two proportions in Jamovi with the Randomize module, using practice survey data
Get n, x̄, and s from Descriptives, for everyone and split by a group, check the box plots, then get the two-sided p-value and t* from Model-Based Inference
Build a table with three rows in Jamovi, read the expected counts, and see how the cell contributions add up to the chi-square statistic
Check the expected counts, find df, and get the chi-square p-value from Model-Based Inference in Jamovi’s Randomize module; combine levels when a cell is too small