ADMS 2320 Chapter Notes - Chapter 1-9: Bar Chart, Descriptive Statistics, Line Chart

• School: York University
• Department: Administrative Studies
• Course: ADMS 2320
• Professor: Michael Rochon

Document Summary

The central limit theorem: n larger-distribution tighter & narrower (more bell-shape) Sampling distribution of the sample mean: m =mx ; 2. P( z = ( -m)/ ( / n) > ) - 4 bottles; 1 bottle p(x-m/ ); Sampling distribution of the proportion: nominal data - p = p = x/n ; ep = p ; vp = p(1-p)/ n if both np>5 & n(1-p)>5 then z = (p -p) / [ (p(1-p) /n] Sampling distribution of the b/w 2 means: 1- 2 normal - both are independent & parent normally distributed. If not normally distributed, but same size >30, so normal. Observational study: without controlling any factor >< experimental: controlling factors might influence value. Simple random sampling: all the same size samples are equally chosen. Sampling: separate the population to mutually exclusive sets-draw simple random sample from each stratum (can acquire infor. about whole population, each stratum, relationship among data).