GEOG 3222 Lecture 3: W3 - G3222 - UnivariateStatsProbability

• School: Memorial University
• Department: Geography
• Course: GEOG 3222
• Professor: John- Michael Davis

Document Summary

Certainty of processes, statistical terms and concepts - the binomial distribution. Probability distributions - consider the geographical process for data analysis method selection. Deterministic = processes that create patterns with total certainty, since the outcome can be exactly specified with 100 % likelihood. Suitable to describe physical processes established through scientific principles. Stochastic: the likelihood or probability of any particular outcome can be specified. A statement a(cid:271)out a sto(cid:272)hasti(cid:272) p(cid:396)o(cid:272)ess (cid:373)a(cid:455) (cid:396)ead as: (cid:858)the(cid:396)e is a pe(cid:396)(cid:272)e(cid:374)tage p(cid:396)o(cid:271)a(cid:271)ilit(cid:455) that su(cid:272)h a(cid:374)d su(cid:272)h (cid:272)ha(cid:396)a(cid:272)te(cid:396)isti(cid:272)s des(cid:272)(cid:396)i(cid:271)es a(cid:374) e(cid:448)e(cid:374)t o(cid:396) featu(cid:396)e(cid:859) Event = parameter or variable that can usually result in one of several possible outcomes. Outcome = a particular result obtained while observing a variable; measurement made. Statistically independent event = random; characteristic of an event that is not influenced by whether another event has occurred. Continuous probability distribution = the variable can take on any one of an infinite number of values.