ADMS 2320 Study Guide - Mutual Exclusivity, Statistical Inference, Bar Chart

• School: York University
• Department: Administrative Studies
• Course: ADMS 2320
• Professor: Hernan Humana

Document Summary

(cid:0) descriptive statistics are methods of organizing, summarizing, and presenting data in a convenient and (cid:0) chapter 6 c informative way. Graphical techniques and numerical techniques. (cid:0) complement rule: p(a) = 1 . P(a) (cid:0) inferential statistics is set of methods used to draw conclusions or inferences about characteristics of )(bandap )(bandap (cid:0) conditional probability: or populations based on data from a sample. Statistical inference is the process of making an estimate, prediction, or decision about a population based on a sample. Conclusions and estimates are not always going to be correct, so we build into (cid:0) multiplication rule: p(a and b) = p(a|b) (cid:0) P(b) or p(a and b) = p(b|a) (cid:0) p(a) statistical inference a measure of reliability: the confidence level and the significance level. (cid:0) multiplication rule for. Independent events: p(a and b) = p(a) (cid:0) p(b) (cid:0) confidence level (1-(cid:0) ) is the proportion of times that an estimating procedure will be correct. (cid:0) addition rule: