STAT 201 Midterm: STAT 201 MIDTERM 2 notes "cheat sheet"

• School: Simon Fraser University
• Department: Statistics
• Course: STAT 201
• Professor: Jack Davis

Document Summary

Hypothesis test- main tool of inference (make a guess about a parameter and use statistics to reject or fail to reject it) Confidence interval- an interval based on statistics of where a parameter is likely to be. Null hypothesis (ho)- no effect or change, everything it in its default state. Alternative hypothesis (ha)- anything that says otherwise from the null. With strong evidence we can reject the null. Always , (cid:894) is t(cid:449)o sided i(cid:374) a t-test) Parameters- numbers that summarize data for an entire population (we always hypothesize about parameters). Stro(cid:374)ger e(cid:448)ide(cid:374)(cid:272)e agai(cid:374)st the (cid:374)ull can reject the null. (probability of getting evidence as strong as you did assuming that the null is true) The (cid:272)ha(cid:374)(cid:272)e (cid:449)ere (cid:449)illi(cid:374)g to take of reje(cid:272)ti(cid:374)g the (cid:374)ull hypothesis e(cid:448)e(cid:374) (cid:449)he(cid:374) it(cid:859)s true. If = (cid:1004) then we need overwhelming evidence to disprove. Type 1 error rate- is the rate that type (cid:1005) errors (cid:449)ill o(cid:272)(cid:272)ur. (cid:862) eje(cid:272)ti(cid:374)g the (cid:374)ull (cid:449)he(cid:374) it(cid:859)s true(cid:863)