Échantillonnage stratifiévignette|Vous prenez un échantillon aléatoire stratifié en divisant d'abord la population en groupes homogènes (semblables en eux-mêmes) (strates) qui sont distincts les uns des autres, c'est-à-dire. Le groupe 1 est différent du groupe 2. Ensuite, choisissez un EAS (échantillon aléatoire simple) distinct dans chaque strate et combinez ces EAS pour former l'échantillon complet. L'échantillonnage aléatoire stratifié est utilisé pour produire des échantillons non biaisés.
Convenience samplingConvenience sampling (also known as grab sampling, accidental sampling, or opportunity sampling) is a type of non-probability sampling that involves the sample being drawn from that part of the population that is close to hand. This type of sampling is most useful for pilot testing. Convenience sampling is not often recommended for research due to the possibility of sampling error and lack of representation of the population. But it can be handy depending on the situation. In some situations, convenience sampling is the only possible option.
Auto-stop génétiqueL’auto-stop génétique (calque de l’anglais genetic hitchhiking, parfois nommé genetic draft) est un processus par lequel un allèle augmente sa fréquence d’apparition de par sa liaison à un autre gène positivement sélectionné. La proximité sur un chromosome permet aux gènes d’être entraînés dans un permis par un gène avantageux alentour. D’une manière plus générale, l’auto-stop génétique peut désigner un changement de fréquence dans l’apparition d’un allèle dû à n’importe quelle forme de sélection, allant de la à la mutation délétère.
Frameshift mutationA frameshift mutation (also called a framing error or a reading frame shift) is a genetic mutation caused by indels (insertions or deletions) of a number of nucleotides in a DNA sequence that is not divisible by three. Due to the triplet nature of gene expression by codons, the insertion or deletion can change the reading frame (the grouping of the codons), resulting in a completely different translation from the original. The earlier in the sequence the deletion or insertion occurs, the more altered the protein.
Sampling probabilityIn statistics, in the theory relating to sampling from finite populations, the sampling probability (also known as inclusion probability) of an element or member of the population, is its probability of becoming part of the sample during the drawing of a single sample. For example, in simple random sampling the probability of a particular unit to be selected into the sample is where is the sample size and is the population size. Each element of the population may have a different probability of being included in the sample.
Simple random sampleIn statistics, a simple random sample (or SRS) is a subset of individuals (a sample) chosen from a larger set (a population) in which a subset of individuals are chosen randomly, all with the same probability. It is a process of selecting a sample in a random way. In SRS, each subset of k individuals has the same probability of being chosen for the sample as any other subset of k individuals. A simple random sample is an unbiased sampling technique. Simple random sampling is a basic type of sampling and can be a component of other more complex sampling methods.
Teleology in biologyTeleology in biology is the use of the language of goal-directedness in accounts of evolutionary adaptation, which some biologists and philosophers of science find problematic. The term teleonomy has also been proposed. Before Darwin, organisms were seen as existing because God had designed and created them; their features such as eyes were taken by natural theology to have been made to enable them to carry out their functions, such as seeing.
Mutation ponctuelle500px|aucun|droite Une mutation ponctuelle est un changement de la structure du gène, affectant un à plusieurs nucléotides (entre un et dix). Il existe quatre types de mutations ponctuelles : mutation par substitution : remplacement d’un (ou plusieurs) nucléotides par un autre (ou plusieurs autres) ; mutation par insertion : ajout d’un ou plusieurs nucléotides ; mutation par délétion : perte d'un ou plusieurs nucléotides.
Échantillon biaiséEn statistiques, le mot biais a un sens précis qui n'est pas tout à fait le sens habituel du mot. Un échantillon biaisé est un ensemble d'individus d'une population, censé la représenter, mais dont la sélection des individus a introduit un biais qui ne permet alors plus de conclure directement pour l'ensemble de la population. Un échantillon biaisé n'est donc pas un échantillon de personnes biaisées (bien que ça puisse être le cas) mais avant tout un échantillon sélectionné de façon biaisée.
Statistical populationIn statistics, a population is a set of similar items or events which is of interest for some question or experiment. A statistical population can be a group of existing objects (e.g. the set of all stars within the Milky Way galaxy) or a hypothetical and potentially infinite group of objects conceived as a generalization from experience (e.g. the set of all possible hands in a game of poker). A common aim of statistical analysis is to produce information about some chosen population.
