PLG 310- Final Exam Guide - Comprehensive Notes for the exam ( 29 pages long!)

• School: Ryerson University
• Department: Planning
• Course: PLG 310
• Professor: Raktim Mitra

Document Summary

The science of collecting, describing and interpreting data. Why do we need statistics: scientifically collect and describe data, made decisions in the face of uncertainty. Descriptive statistics summarizing the information obtained from a sample/population. Inferential statistics interpreting and generalizing about the population based on the information obtained from the sample. Only needed when we have incomplete information. When we cannot collect data from everyone in the population. Whe(cid:374) (cid:449)e do(cid:374)"t k(cid:374)o(cid:449) fo(cid:396) su(cid:396)e if ou(cid:396) (cid:396)esults a(cid:396)e su(cid:396)e. No need for this type of statistics if we can collect from the entire population. When collecting data of a smaller group of the population you call it a sample. What we get from the sample is an average which we then apply statistic thinking. (cid:862)the (cid:395)uality of life is lo(cid:449)e(cid:396) a(cid:373)o(cid:374)g lo(cid:449) i(cid:374)(cid:272)o(cid:373)e households i(cid:374) to(cid:396)o(cid:374)to(cid:863) We randomly survey 200 residents in toronto, with various income levels. Des(cid:272)(cid:396)i(cid:271)e the (cid:272)ha(cid:396)a(cid:272)te(cid:396)isti(cid:272)s a(cid:374)d the (cid:862)(cid:395)uality of life(cid:863) s(cid:272)o(cid:396)es of the surveyed sample.