Psychology 1000 Chapter Notes - Chapter 5: Standard Error, Central Limit Theorem, Binomial Distribution

• School: Western University
• Department: Psychology
• Course: Psychology 1000
• Professor: All

Document Summary

Bio 2244b- textbook notes chapter 5: 5-1, 5-2, 5-3, 5-4, 5-5, 5-6. Normal distribution: if a continuous random variable has a distribution with a graph that is symmetric and bell-shaped and can be described by the following equation: y= e. Uniform distribution: if a continuous random variable has vales that spread evenly over the range of possibilities. The graph of a uniform distribution results in a rectangular shape. Density curve: a graph of a continuous probability distribution. Standard normal distribution: a normal probability distribution that has a mean of 0 and a standard deviation of 1, and the total area under its density curve is equal to 1. Z-score: distance along the horizontal scale of the standard normal distribution (see image, right) If we convert values to standard scores using the following formula, then procedures for working with all normal distributions are the same as those for the standard normal distribution: z= x .