# statistics week1

 .remove_background_ad { border: 1px solid #555555; padding: .75em; margin: .75em; background-color: #e7e7e7; } .rmbg_image { max-height: 80px; } parameter vs statistic parameter: a numerical measurement describing some characteristic of a populationstatistic: a numerical measurement describing some characteristic of a sample 2 types of quantitative data: discrete: when the number of possible values is either a finite number or a "countable" number (0,1,2,3,...)continous: infinitely many values that correspond to some continuous scale (2.243115 gallons of milk per day) 4 levels of measurement: nominal: qualitative; data consists of names only and cannot be arranged in an ordering scheme (yes, no, undecided)ordinal: qualitative; data that can be arranged in some order, but differences between values are meaningless (A, B, C, D, or F)interval: quantitative; data can be arranged in order and difference between values has meaning. however, no natural zero starting pointratio: quantitative; interval level except there is a natural zero starting point. observational studies vs experimental observation: observing and measuring specific characteristics without attempting to modify the subject.experimental: apply some treatment and then observe its effect on the subjects. types of sampling (5) simple random sample: a sample of n subjects is selected so that every sample has the same chance of being chosensystematic: select every kth element in the populationconvenience: use results that are easy to getstratified: subdivide the population into subgroups that share the same characteristics then draw a sample from each group. (male or female then 5% from each)cluster: divide population area into sections then randomly select some of those clusters and all of their members Authorkjel ID320169 Card Setstatistics week1 Descriptionstatistics week1 Updated2016-05-17T00:28:39Z Show Answers