QMS 102 Lecture Notes - Lecture 7: Percentile Rank, Random Variable, Poisson Distribution

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 102
• Professor: Clare Chua

Document Summary

If q2 is closer to q1 skewed to the right median < mean. If q2 closer to q3 skewed to the left median > mean. Number between these two is considered suspect, outside the rif is considered outlier. Two coins are tossed: give an example of a simple event. You get heads or tails: give an example of a join event. One gives you heads, the other gives you tails. We prefer the second answer, but these are two possible answers. We must identify that ht and th are different coins. 300 households asked the(cid:373) all (cid:862)(cid:449)hether the tv had faster refresh rate? (cid:863) a(cid:374)d (cid:862)(cid:449)hether the(cid:455) purchased blu-ra(cid:455) (cid:894)bd(cid:895) pla(cid:455)er or (cid:374)ot. (cid:863) Marginal probability: data on the side are marginal data, (cid:2876)(cid:2868)(cid:2871)(cid:2868)(cid:2868),(cid:2870)(cid:2870)(cid:2868)(cid:2871)(cid:2868)(cid:2868),(cid:2869)(cid:2868)(cid:2876)(cid:2871)(cid:2868)(cid:2868),(cid:2869)(cid:2877)(cid:2870)(cid:2871)(cid:2868)(cid:2868) are the marginal data in this case. Mutually exclusive: an example of this are sections faster and standard, you cannot have faster and standard, it is either or.