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Mathematics, 26.10.2019 05:43 galaxicorn45
The central limit theorem tells us that for population distribution(s), if we repeatedly take new random samples from this distribution and calculate the average each time, then: a. if you take a really large sample size you would expect the sample average to be b. if your sample size is small, the sample averages will be spread out. c. if your sample size is small, the distribution of the sample averages will look more like distribution. d. if your sample size is very large, the distribution of the sample averages will look more like distribution.
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The central limit theorem tells us that for population distribution(s), if we repeatedly take new ra...
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