Mathematics B / Statistical Inference ③ (Sample Means and Interval Estimation) 2 / 6

Distribution of the Sample Mean

When a random sample of size n is taken from a population N(μ, σ²), the sample mean X̄ follows
 X̄ 〜 N(μ, σ²/n).

In other words:
 ・E(X̄) = μ
 ・V(X̄) = σ²/n, standard deviation = σ/√n

Example ① If the population variance is σ²=400 and the sample size is n=25, find the standard deviation of X̄.
Solution:σ/√n = 20/5 = 4
Key Point
  • The distribution of the sample mean becomes narrower as n increases
  • Central limit theorem: even if the population is not normal, the sample mean approaches a normal distribution when n is large

Practice Problems

  1. Find the standard deviation of X̄ when σ=10 and n=100.

Solutions and Explanations

  1. Solution:1

Questions and answers for this lesson

Loading...