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Probability
#of defined (or desired) events/ #of total events
Mutually Exclusive Events
are events that cannot happen at the same time. For example, an individual cannot get a head and a tail during a single coin flip.
Independent Events
events are those that are not affected by previous events, nor do the events affect each other. For example, if you were to flip two successive coins, the results from one toss should not affect the results of the other toss
Mendel’s Law of Segregation
In diploid organisms, alleles from the same gene separate from each other during meiosis and are passed into the gametes such that each gamete only gets one allele from each gene
Mendel’s Law of Independent Assortment
Alleles of one gene are passed to the gametes independently of the alleles of other genes, and that the process obeys the rules of random probability
Gambler’s Fallacy
the mistaken belief that if something happens more frequently than what is considered normal, then it will happen less frequently than normal in the future, even if the observer knows that the independent probability of that event occurring is already established