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The central limit theorem is important in statistics because it allows us to use the Normal distribution to find probabilities involving the sample mean (a) if the sample size is reasonably large (for any population). (b) if the population is Normally distributed and the sample size is reasonable large. (c) if the population is Normally distributed (for any sample size). (d) if the population is Normally distributed and the population standard deviation is known (for any sample size). (e) if the population size is reasonably large (whether the population distribution is known or not).



Answer :

The central limit theorem is important in statistics because it allows us to use the Normal distribution to find probabilities involving the sample mean Provided that the population is normally distributed and the sample size is large.

What does the math term "probability" mean?

The simple definition of probability is the likelihood that something will occur.

                         We can discuss the probabilities of various outcomes, or how likely they are, whenever we are unsure of how an event will turn out. Statistics describes the examination of events subject to probability.

Which two types of probability are there?

There are four primary categories of probability classical, empirical, subjective, and axiomatic. Probability is the area of mathematics that deals with the occurrence of a random event.

                                Since probability and possibility are equivalent, you may say that it refers to the likelihood that a specific occurrence will occur.

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