Psychology 3800F/G Chapter Notes - Chapter 3: Histogram, Central Limit Theorem, Type I And Type Ii Errors

• School: Western University
• Department: Psychology
• Course: Psychology 3800F/G
• Professor: Ryan Stevenson

Document Summary

Chapter 3 fundamentals of the monte carlo method. Two concepts of type ii and type i error. Using the t-test applied to independent samples: also applicable to many other tests just not described in this chapter. Investigate the empirical sampling distribution of a statistic: 2. Study the effects of violating assumptions underlying some statistics. Three steps to carry out a monte carlo investigation: 1. Usually standardized (have a mean of 0 and a sd of 1) Populations can have a normal, exponential, or rectangular shape: normal distribution equation: c = constant. Height of the curve at its highest point. Curve is symmetrical about the mean: exponential distribution equation: e = 2. 7183. Value of y is small for low values of x and increases as x increases. When the exponent is x, low values of x are associates with high values of y and decrease as x increases: rectangular distribution equation. Equal value of y for each value of x.