Multiple alleles refer to the presence of more than two alternative forms of a gene within a population, allowing for a variety of genetic combinations, as seen in blood types. Polygenic traits, on the other hand, are controlled by multiple genes, each contributing to the phenotype, resulting in a continuous range of traits, such as height or skin color. Essentially, multiple alleles focus on variations of a single gene, while polygenic traits involve the cumulative effect of several genes.
Also, any multiples of 18 that differ by 18, like 36 and 54.
Yes, it is possible to have two or more outliers in a dataset. Outliers are values that significantly differ from the rest of the data, and multiple values can meet this criterion. The presence of multiple outliers can indicate variability in the data or suggest underlying issues like measurement errors or unusual occurrences. Analyzing these outliers can provide valuable insights into the data's characteristics.
it differs becaus eit shows differ amount of data and it gives a differ piont of point of numbers
10 itself is a multiple of 5, so any multiple of 10 must also be a multiple of 5.
It is a negative multiple of x.It is a negative multiple of x.It is a negative multiple of x.It is a negative multiple of x.
No they do not
multiple allels
multiple allels
multiple allels
I think that , they r both controlled by more then 2 allels.
2. Even though there are multiple alleles for the same characteristic in the general population, an individual can only have two.
With allels.
mutation
unlike alleles
A punnett square.
incomplete dominance
Two