Suppose that a population is known to be normally distributed with
μ =2,300 and σ=250. If a random sample of size
n =8 is selected, calculate the probability that the sample mean will exceed
2,400.
According to the central limit theorem, the distribution of sample mean here is given as:
Note that even if the sample size is small, the central limit theorem is applicable as the underlying distribution is normal distribution.
Converting it to a standard normal variable, we get:
Getting it from the standard normal tables, we get:
Therefore 0.1289 is the required probability here.
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