Look at the distribution of male height for instance. The mean of this normal distribution is around 5' 10''. So that means about 69% of men are within one standard deviation of this mean. If you saw a sample of men standing on bleachers it would look exactly as a Bell curve looks; normally distributed.
A bell shaped curve often describes the distribution of phenotypic classes of a polygenic trait.
The phenotypic ratio of the offspring when a tall man marries a short woman is 3:1 (tall/short). The phenotypic ratio is figured by using the punnet square with the dominant allele for tall and the recessive allele for the short gene.
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Blending or mixing of the colors is a phenotypic variation that is possible with co-dominance. Seeing both colors present at the same time is also possible.
It is a type of light distribution. Symmetric distribution would be like normal down lighting with distribution to cover all surfaces. Asymmeteric distribution would be a down light that has distribution both down and to one side to cover a specific surface or object. Like a spot light or a wall wash fixture.
The distribution will center towards hetrotrophs and thus dominant phenotypes. The distribution approaches all dominant phenotypes
The phenotypes for a certain trait in a population <3 Joella
nothing to learn scientist lean not people! valerie
What does the spatial distribution of homicide look like in Los Angeles? If you look at different years, does the pattern change?
A bell shaped curve often describes the distribution of phenotypic classes of a polygenic trait.
The distribution will center towards hetrotrophs and thus dominant phenotypes. The distribution approaches all dominant phenotypes
A distribution is skewed if one of its tails is longer than the other. The first distribution shown has a positive skew. This means that it has a long tail in the positive direction.
Thanks!0 CommentsDowny woodpeckers are the main predators of gall flies, their extinction could lead to a rise in gall flies
dense at bottom of Ontario and quebec and more spread out the higher you go.
A histogram is used to analyze a distribution of data. It look like a graph and can be used in many formats - the most popular may be in Photography, showing the distribution of shadows and light in a visual representation.
Look at the distribution of male height for instance. The mean of this normal distribution is around 5' 10''. So that means about 69% of men are within one standard deviation of this mean. If you saw a sample of men standing on bleachers it would look exactly as a Bell curve looks; normally distributed.
The term you are probably looking for is a Bell curve, which is a Gaussian distribution.