The population of current statistics students has ages with mean mu and standard deviation sigma. samples of statistics students
are randomly selected so that there are exactly 48 students in each sample. for each sample, the mean age is computed. what does the central limit theorem tell us about the distribution of those mean ages?
Answer: The central limit theorem tells us that when random samples are chosen the results tend to approach a normal distribution.
The basic idea is that the more random samples that you select, the closer you should get to the mean. In most cases, 30 or more samples is regarded as a large enough sample to get close to the mean. Our sample is 48, so we should be close to the mean.
11.5 * 2.3 = large door size large door size / 12 = large door size in feet large door size in feet / 10 = how many large doors can be cut from the board. (you have to round it down if there's a decimal- no 1/2 doors.)
