CRIM 320 Lecture Notes - Lecture 3: Joint Probability Distribution, Conduct Disorder, Type I And Type Ii Errors

• School: Simon Fraser University
• Department: Criminology
• Course: CRIM 320
• Professor: Jeffery Mathesuis

Document Summary

Probability distribuion: last week we spoke about normal curve, there are many diferent types of distribuions. Z, chi square, t, f, etc: shapes of distribuions difer but conceptually they are all the same. Probability distribuion: 68. 25% = 1 , 95. 44% = 2 , 99. 72% = 3 , these are conidence intervals, these are z distribuions, ex. z value of +/- 1. 96 = 95% (look in back table) 95% ci, divide in half and look at (b) in table. No associaion between iv and of research hypothesis) Decision making about the null hypothesis: alpha ( ) Provides a cut-of point for determining whether we accept or reject our null hypothesis. = 1 conidence interval: = 1 95%ci, = 0. 05 another common forms: = 1 99%ci = 0. 01: alpha ( ) determines the: Using the signiicance level ( : the criical value using z distribuion, ex. Hypothesis tesing: tesing the null hypothesis. Empirical analysis conducted on sample staisics, not populaion parameter.