KINE 2050 Lecture Notes - Lecture 12: Lightning, Conditional Probability, Fallacy

• School: York University
• Department: Kinesiology & Health Science
• Course: KINE 2050
• Professor: Merv Mosher

Document Summary

. professor said that it is necessary that you do the lab exercises. he advised that if anyone was in clare"s lab yesterday she may have confused some of you. let"s assume that we have a normal curve and we have calculated a z score. If he looked at up on the table and it was 34%. Let"s suppose we worked out the z score and it is a -z and they have 34. last class we were talking about standard error of the mean and confidence intervals. the larger your sample sizes the closer your value will be to the true mean. Interval for mean = 17. 0 +- 12. 0 (sd), n=84. Sem = sd/ 12/sq root of 84 = 1. 3093 sq rt of n. if n is less than 30 we have to do something different. We will assume that you do not have a normal distribution. Calculating confidence interval for small sample (n < 30)