PSYCH 100A Lecture Notes - Lecture 11: Bias Of An Estimator, Type I And Type Ii Errors, Confidence Interval
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Chapter 8 parameter estimation: x : sample mean, : populatio(cid:374) (cid:373)ea(cid:374, : population sd, 2 measurements of uncertainty, accuracy: how close to the true value you are, ex. ) In the long run, x will be closer to . 4 factors that affect the width of c int. -> the narrower, the better bc that"s less uncertainty. 1. ) increasing n makes confidence interval narrower. 2. ) decreasing or s (cid:373)akes (cid:374)arro(cid:449)er. (cid:1007). ) (cid:272)o(cid:374)fide(cid:374)(cid:272)e i(cid:374)ter(cid:448)al is k(cid:374)o(cid:449)(cid:374) is ge(cid:374)erall(cid:455) (cid:374)arro(cid:449)er tha(cid:374) (cid:449)he(cid:374) is u(cid:374)k(cid:374)o(cid:449)(cid:374) Unbiased estimator --> over a large number of samples: gives us a certain level of confidence regarding the true value of the population mean. Chapter 9: descriptive statistics conveys characteristics of a distribution, shape, width, center, specifying statistics and parameters --> giving a numerical value. Inferential statistics science of drawing some conclusion or inference about a paramter on basis of a sample statistic: draw conclusions regarding a population based on sample statistics, ex. )
