PSY201H1 Lecture Notes - Lecture 7: Standard Deviation, Central Limit Theorem
Document Summary
Define the distribution of samples means and for a specific sampling situation, describe he distribution by identifying its shape, the expected value of m, and the standard error of m. Understand that each sample mean m has a location in the distribution of sample means. Determine probabilities corresponding to specific samples means. In chapter 7 we extend the concepts of z-scores and probability to samples of more than one score. We will compute z-scores and find probabilities for sample means. To accomplish this task, the first requirement is that you must know about all the possible sample means entire distribution of means. Once this distribution is identified, then: a z-score can be computed for each sample mean. The z-score tells where the specific sample mean is located relative to all the other sample means. The probability associated with a specific sample mean can be defined as a proportion of all the possible sample means.
