Counting vs Measuring

Probability and Statistics has been my weakest point in the last few years. I feel enraged that I was never taught even a half decent course during school or my undergrad. Or they did have some topics, which I don’t recall much. After some effort, I am feeling much more comfortable with topics in P and S. It is essentially the lack of familiarity that often causes trouble.

But that’s not the point.

I recently watched a series of lectures on elementary probability and statistics presented by an instructor from De Anza college. The presentation is easy to follow and very clear. I took to the lectures right from the first few minutes.

While describing the different kinds of data that we deal with in P and S — qualitative and quantitative (discrete and continuous) — the instructor easily explained away how one can decide if a piece of quantitative data is discrete or continuous. It’s the difference between “how many?” and “how much?”. In other words, you count discrete data, whereas you measure continuous data.

Pretty elementary. But goes a long way.

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4 Responses to Counting vs Measuring

  1. Mandar says:

    >>It’s the difference between “how many?” and “how much?”.

    Cool! Had never seen it that way. It’s so much simpler now.

  2. Sundar says:

    I explain the distinction between “how many” and “how much” through “discrete and continuous”. :p

  3. Sundar says:

    I was not kidding in my previous comment, by the way.

  4. sanket says:

    Sundar: Once you “get it”, it works either way, I guess.

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