COMM 162- Midterm Exam Guide - Comprehensive Notes for the exam ( 14 pages long!)

• School: Queen's University
• Department: Commerce
• Course: COMM 162
• Professor: Tatsiana Levina

Document Summary

* (n-x)!: so true p(x) = ncx * (px) * (qn-x) = [n! Intervals for poisson can be time, canada, a pair of jeans etc. If p = small, (cid:374)*p (cid:1095) 7: mea(cid:374), (cid:645) = e(cid:454)pe(cid:272)ted (cid:448)alue so (cid:645) = (cid:644) Treating binomial as poisson distributions: ca(cid:374) do this if do(cid:374)(cid:859)t (cid:449)a(cid:374)t to use (cid:271)i(cid:374)o(cid:373)ial (cid:272)al(cid:272)ulations, or if combinations too many & calculator (cid:272)a(cid:374)(cid:859)t ha(cid:374)dle. If p small enough & n sufficiently large: conditions, n > 20, (cid:374)p (cid:1095) 7. Just like binomial, described by 2 parameters, n & p: p(x) = [acx * (n-a)c(n-x)] / ncn, used when binomial dist is w/o replacement. Continuous distributions: finding prob = find area over interval of function. Chapter 6: but no area for one single point (since continuous & all decimal values possible, so find area for an interval within range include uniform, normal, exponential, t distribution, ch-square distribution, f distribution.