A trait that has low variance suggests that there is a high environmental variance. This means that the success of a trait is increased if people are raised in optimal environmental conditions.
I don’t know
i mean to say what is a recessive trait not what is recessive trait sorry
Charateristics is a trait for example a mean trait
The principle of excessiveness is defined as the explanation of why one trait will not show over another. If a trait is recessive it will not show when a dominant trait is present.
That organism has two recessive alleles for that trait, one from each parent. It will display the recessive trait.
the worst factor of a person. the bad acts/ ways of a pereson. a bad trait can include being a habitual liar
The error in which a particular numbers are set apart is called error variance.
Z is a variable with mean 0 and variance 1.Z is a variable with mean 0 and variance 1.Z is a variable with mean 0 and variance 1.Z is a variable with mean 0 and variance 1.
No, low variance does not necessarily lead to high inter rater reliability. Inter rater reliability is focused on the consistency of ratings between different raters, while variance measures the spread or dispersion of scores within a dataset. It is possible to have low variance but still have low inter rater reliability if raters are consistently scoring inaccurately or inconsistently.
A variance is a measure of how far a set of numbers is spread out around its mean.
Variance is a measure of "relative to the mean, how far away does the other data fall" - it is a measure of dispersion. A high variance would indicate that your data is very much spread out over a large area (random), whereas a low variance would indicate that all your data is very similar.Standard deviation (the square root of the variance) is a measure of "on average, how far away does the data fall from the mean". It can be interpreted in a similar way to the variance, but since it is square rooted, it is less susceptible to outliers.
Mean = 2. Variance = 1.
Since Variance is the average of the squared distanced from the mean, Variance must be a non negative number.
Variance is the squared deviation from the mean. (X bar - X data)^2
you have to first find the Mean then subtract each of the results from the mean and then square them. then you divide by the total amount of results and that gives you the variance. If you square root the variance you will get the standard deviation
Heritability is the statistical estimate of the proportion of the total variance in a trait that is attributed to genetic differences among individuals within a group. It provides a way to quantify the extent to which genetic factors contribute to individual differences in a specific trait within a population.
mean = 5, variance = 5
The mean, by itself, does not provide sufficient information to make any assessment of the sample variance.