symmetric nephrograms
Yes, they can.Yes, they can. In a symmetric distribution they will be the same.
Symmets is related to the definition of a symmetric shape.
Median.
All equal.
They are all equal . . . they are the same.(In an asymmetric distribution they are not equal.)
If it is a symmetric distribution, the median must be 130.
Symmetric enhancement of the kidneys on lab imaging, such as a CT scan, typically indicates that both kidneys are functioning similarly and are receiving an adequate blood supply. This finding suggests that there are no significant lesions, obstructions, or vascular issues affecting one kidney more than the other. It can be a reassuring sign in the context of evaluating kidney health. However, it should be interpreted in conjunction with other clinical findings and tests for a comprehensive assessment.
Mean
Yes, they can.Yes, they can. In a symmetric distribution they will be the same.
No. The mean and median are not necessarily the same. They will be the same if the distribution is symmetric but the converse is not necessarily true. That is to say, a distribution does not have to be symmetric for the mean and median to be the same. For example, the mean and median of {1, 1, 5, 6, 12} are both 5 but the distribution is NOT symmetric.
In a symmetric distribution, the mean and the median are the same. Otherwise there is no relation. In symmetric distributions with only one mode, the mode will coincide with the mean and median, but otherwise there is no relation.
a condition marked by symmetric cyanosis of the extremities.
yes
It depends what you mean by symmetric. If you mean that there are the same number of factors on each branch, then the answer is No. eg 20 / \ 4 5 / \ 2 2
A symmetric figure is a figure that is symmetrical. This means that if you fold it in half that both sides will line up. I hope this helped you! :)
In a symmetric distribution, the mean and median will always be equal. This is because symmetry implies that the distribution is balanced around a central point, which is where both the mean (the average) and the median (the middle value) will fall. Therefore, in perfectly symmetric distributions like the normal distribution, the mean, median, and mode coincide at the center. In practice, they may be approximately equal in symmetric distributions that are not perfectly symmetrical due to rounding or sampling variability.
Symmets is related to the definition of a symmetric shape.