When mating occurs between two organisms of different traits, each offspring exhibits the trait of one parent only. If the dominant alleles are present in an individual, the dominant trait will result. The recessive trait will only if both alleles are recessive.
If a plant has two copies of every gene, how does it pass only one copy of each to its progeny? And how then do the offspring end up with two copies of these same genes, one from each parent?
During the formation of the gamete, the alleles of one trait will segregate independently of another trait. Therefore, the inheritance of genes responsible for the expression of color and shape of the seeds were not dependent on each other.
A convenient way of organizing all the combinations of characteristics. It helps keep track of all the potential combinations of traits that may appear in the progeny. It can be used to determine phenotypic or genotypic ratios for any number of characteristics.
The rules of probability can be applied to Mendelian crosses to determine the expected phenotypes and genotypes of offspring. The three mathematical operations used are the product rule, sum rule and chi square.
A mathematical measure of likelihood or a likelihood that a particular event will occur. The empirical probability of an event is calculated by dividing the number of times the event occurs by the total number of opportunities for the event.
Mendel demonstrated that the probability of the event "round seed" was guaranteed to occur in the F1 offspring of true-breeding parents, one of which has round seeds and one of which has wrinkled seeds. When the F1 plants were subsequently self-crossed, the probability of any given F2 offspring having round seed was now three out of four.
The probability of two independent events occurring together can be calculated by multiplying the individual probabilities of each event occurring alone.
According to Mendel, to use probability laws in practice, it is necessary to work with large samples sizes because small sample sizes are prone to deviations caused by chance.
Uses probability to detect differences between Expected and Observed Values. It can be used to infer if the simple assumptions, such as independent assortment, are not true.