FANR 3000 1st Edition Lecture 13 Outline of Last Lecture I Capture Mark Recapture II CMR Assumptions III Abundance Estimation Outline of Current Lecture I What is our sample unit II Identify the scale III Types of sampling Current Lecture I II III What is our sample unit Sample the portion subset of the population that we actually count or measure Sample unit the actual data point one of the entire sample o We characterize a population by sampling o Key assumption the information obtained from the sample reliably reflects the population The sample unit n depends on the question you re asking o Important that the sampling effort be representative of the population as a whole Identify the scale Identify population and samples Use repeated measures to increase accuracy The mean of repeated measure becomes one sample point o Use multiple sample points together for actual analysis Types of sampling Simple random sample taking a random sample of n unites from a population of size N A sub set of individuals selected from a larger set Each individual is chosen entirely by chance These notes represent a detailed interpretation of the professor s lecture GradeBuddy is best used as a supplement to your own notes not as a substitute Advantages minimum knowledge of population unbiased simplest and straight forward Disadvantages cost prohibitive lower accuracy Systematic sample sampling every kth unit from a population Removes biases Each individual is chosen entirely by the number in which they occurred Stratified sample dividing the population into non overlapping blocks strata and taking a random sample within strata Takes advantage of the fact that there are often distinct subgroups within the population Decreases in variance