How are distribution & variation important in any statistical study

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I’m on the strugglebus in understanding statistics so any breakdown would be super helpful.

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Anonymous 0 Comments

Things in the real world follow distributions.

If you learn well by example:
If I have two cooks and I want to test if they make burgers of the same weight I need to order a bunch of burgers and weight them. The weight of their burgers follow a DISTRIBUTION. The variance describes the width of the distribution. To test a hypothesis such as “each cook makes the same weight burger” I must know each distribution well enough to calculate a probability that each cook makes burgers that have the same distribution of weights.

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