how can i say this in my own words " It works well when the conditions for the CLT are met and n is large. The binomial is a discrete distribution while the normal is continuous, so there will be some error in the approximation. The normal is a good approximation when the number of trials is large and the probability of success is not too close to 0 or 1. The normal distribution is a good approximation to the binomial distribution when the number of trials is large and the probability of success is not too close to 0 or 1. The normal is a continuous distribution while the binomial is discrete, so there will be some error in the approximation. The following conditions must be met for the normal approximation to be valid: - The number of trials (n) must be large. - The probability of success in each trial (p) must be between 0.1 and 0.9. - The number of successes (x) must be between 10 and n-10