The __________ Theorem states that with a large enough sample size, the sampling distribution of the mean will be normally distributed.

  • Central Limit
  • Law of Large Numbers
  • Regression
  • Variance
The Central Limit Theorem is a fundamental concept in probability theory and statistics. The theorem states that, as the size of a sample is increased, the sampling distribution of the mean will be closer to a normal distribution. This happens no matter the shape of the population distribution.
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