This week we've introduced the central limit theorem. According to the central limit theorem, for all samples of the same size n with n>30, the sampling distribution of x can be approximated by a normal distribution. In your initial post use your own words to explain what this theorem means. Then provide a quick example to explain how this theorem might apply in real life. At last, please share with us your thoughts about why this theorem is important. Follow up posts try to determine if the example they present truly meets the requirements for the central limit theorem to apply. Briefly explain your reasoning