Sorry been busy OTL Man I wish I still had school bc now I have to deal w parents lolol
Put the sorbet data into a chi squared goodness of fit (single variable) calculator. Your "actual" is your data and your "expected" is 25% of the total number of sorbets we have.
The chi value that is spur out doesn't mean much (basically only for the curious). You want to look at the p-value. It's a % in decimal form. If it's low (for example, below 0.05) then we have a problem because p-value IIRC is the chance of getting a data sample that is at least as extreme as our "actual" assuming 1) random sampling and 2) that our "expected" values are correct. If the p-value is relatively high then we're good
















