Central+Limit+Theorem

Central Limit Theorem
TinkerPlots provides an excellent modeling environment to illustrate the Central Limit Theorem. The notation for the normal distribution is N (population mean, standard deviation) The notation for the standard normal distribution is N(0,1)

Draw an SRS of size n from ANY population with mean mu and a finite standard deviation of sigma. When n is large, the sampling distribution of the sample mean is approximately Normal. As the sample size n increases without limit, the shape of the distribution of the sample means taken with replacement from a population with mean mu and standard deviation sigma will approach a normal distribution. This distribution will have a mean mu and standard deviation [sigma / sqrt(n) ].
 * Central Limit Theorem **
 * // CLT from a different source //**

Oven Repair If 42 ovens are repaired, find the probability that the mean of the repair bills will be greater than $57. The steps for creating the model in TinkerPlots are shown in this activity.

Shower Time Find the probability that the mean time of a random sample of 35 Americans who shower is greater than 14 minutes. The steps for creating the model in TinkerPlots are shown in this activity. Also, this problem looks at a situation were the probability is zero.