The standard deviation of male height in a population is a measure of how spread out the heights are from the average height of males in that population. It helps to understand the variability in male heights within the group.
The average female height in a population is the typical height of women, while the standard deviation measures how much individual heights vary from the average.
Population density.
Change in a population over a given period of time refers to the increase or decrease in the number of individuals within that population. This change is influenced by factors such as birth rates, death rates, immigration, and emigration. Studying population changes can provide insights into trends, challenges, and opportunities for a given area or species.
== == It depends actually. If you were given a value that is a height and want to find the forearm length from that then the forearm length would go on the Y axis (because it is dependant on the height) and the height on the X-axis. If you are given a value that is the forearm length and you want to know the height then you will put height on the Y-axis and the forearm length on the X-axis.
population density
The average female height in a population is the typical height of women, while the standard deviation measures how much individual heights vary from the average.
Yes.
Square the standard deviation and you will have the variance.
A single number, such as 478912, always has a standard deviation of 0.
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A single number, such as 478912, always has a standard deviation of 0.
Standard deviations are measures of data distributions. Therefore, a single number cannot have meaningful standard deviation.
In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean. Given a mean height of 65 inches and a standard deviation of 2.5 inches, this means that approximately 68% of women will have heights between 62.5 inches (65 - 2.5) and 67.5 inches (65 + 2.5).
standard deviation is the square roots of variance, a measure of spread or variability of data . it is given by (variance)^1/2
A standard deviation in statistics is the amount at which a large number of given values in a set might deviate from the average. A percentile deviation represents this deviation as a percentage of the range.
Yes, the mean deviation is typically less than or equal to the standard deviation for a given dataset. The mean deviation measures the average absolute deviations from the mean, while the standard deviation takes into account the squared deviations, which can amplify the effect of outliers. Consequently, the standard deviation is usually greater than or equal to the mean deviation, but they can be equal in certain cases, such as when all data points are identical.
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