Specifically if you read the "Example 2" section above that blurb, and then read the "throwback" bit at the end after the voltmeter story, it makes more sense.
What is a good book for someone comfortable with maths (but very out of practice) to get up to speed on the topic. Not being scared of not understanding stuff and needing to learn prerequisites (so doesn’t need to be too easy). Because the wikipedia article isn’t really for learning but it does give a flavour. And it sounds fascinating, sort of like a monte hall problem to me.
Oscilloscopes can also be used to measure voltages, often in excess of 100V, so in the spirit of those extremely unlikely "explanations" that show up in the explainxkcd tables, I offer this.
PS this story doesn't make sense because you can tell when a voltmeter is out of range.
I think the point is that the sample readings were in the range of voltmeter, but if some sample crossed 100V it would show as 100V in the voltmeter. So even though no sample crossed 100V, the data is clipped still.
That's not good statistics - just because the precision of measurements falls off sharply at 100V doesn't mean that out-of-range readings aren't valid measurements.
Assume we got one out of range measurement out of 100. We can't say anything about variance of reading if we don't have any prior on variance ie using bayesian statistics. That's the joke that traditional statistician can't figure out the obvious thing.
