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When I check some features in JMP, I almost always use Big Class.jmp at first.
But I personally come to think this dataset is not a good sample data for beginner.
(1) Human physical data may be inappropriate ethically. Modern statisticians like Galton, K. Pearson and R.A. Fisher gathered human’s physical and mental data for “race” improvement. The “scientific” movement is called “eugenics”. From the current points of view, this movement is unacceptable.
Some people even deny using Fisher’s Iris data. Please see the following blog and comments.
https://armchairecology.blog/iris-dataset/
https://www.meganstodel.com/posts/no-to-iris/
(2) Big Class.jmp is a fictional dataset, but some people might think that this is a real dataset. It may be a questionable research practice (QRP) not to say a dataset is a faked one even if it’s so.
I personally do not use it with customers. I use the SAT dataset in the sample data library to give a JMP overview & can introduce the same graphical & statistical concepts as Big Class. I have used a version of it with high school students in the context of "let's tell your own data story" and I have them complete a survey/MS Teams Form with demographic information like height, weight, gender, I download their own data & pull it into JMP & create some visualizations & statistical discoveries with it. I do word it something like "Please give me your height in inches. (Guessing is OK or making up something is OK too as long as it's realistic.)" & same for weight. I let JMP create an equation for weight based on height. And I ask for a volunteer who is willing to have the class measure their height & weight to see how well our equation did. There is always a difference which leads to a discussion about the "error" term that none of them have learned about or maybe we should have created equations based on some of the other factors we collected data on. I try to use it such a way in that it's something they can relate to, but not to make them embarrassed or uncomfortable about it. Mary Loveless & I have discussed using head & arm circumferences as an alternative, but I haven't tried it yet.
