The answer is False
A population standard deviation of 1 indicates that the data points in the population tend to deviate from the mean by an average of 1 unit. It reflects the degree of variation or dispersion within the dataset; a smaller standard deviation would suggest that the data points are closer to the mean, while a larger one would indicate more spread out values. In practical terms, if the population's values are measured in a certain unit, most of the data will fall within one unit above or below the mean.
to find percent deviation you divide the average deviation into the mean then multiply by 100% . to get the average deviation you must subtract the mean from a measured value.
To get the accuracy or to get the relative deviation.
In terms of stock analysis, volatility.
It tells you about the size of variation relative to the size of the observation, and it has the advantage that the coefficient of variation is independent of the units of observation. Here is a example to help you see it. If you have a data set with weights, the value of the standard deviation of a set of weights will be different depending on whether they are measured in grams or lbs or micrograms etc. For example if you look at the weights of kids from birth to 18 years, some countries measure in lbs other in kg and some even use stones. The coefficient of variation, however, will be the same in both cases as it does not depend on the unit of measurement. So you can obtain information about the children's weight variation around the world by using the coefficient of variation to look at all the ratios of standard deviations to mean in each country. To compute it we look the ratio of the standard deviation to the mean .
Are you talking of this in means of Statistics? If you are, then the variation from the mean is measured in standard deviation.
Central tendency is measured by using the mean, median and mode of a set of numbers. Variation is measured by using the range, variance and standard deviation of a set of numbers.
A population standard deviation of 1 indicates that the data points in the population tend to deviate from the mean by an average of 1 unit. It reflects the degree of variation or dispersion within the dataset; a smaller standard deviation would suggest that the data points are closer to the mean, while a larger one would indicate more spread out values. In practical terms, if the population's values are measured in a certain unit, most of the data will fall within one unit above or below the mean.
Variation in a plant or animal population can be measured using several methods, including sampling, genetic analysis, and ecological surveys. Researchers often collect data on traits such as size, color, or reproductive success across different individuals or groups within the population. Statistical tools, like variance and standard deviation, can then be applied to quantify the degree of variation. Additionally, monitoring changes over time can provide insights into how environmental factors or evolutionary pressures affect population diversity.
A negative deviation means that the observation is smaller than whatever it is that the deviation is being measured from.
to find percent deviation you divide the average deviation into the mean then multiply by 100% . to get the average deviation you must subtract the mean from a measured value.
A standard deviation for a sample makes a judgment on the whole data set whereas the population standard deviation uses the shole data set. If the questions says for example, a sample of 50 peoples height was taken... you would use the sample method but if you were asked : "Everyone in the class had their height measured" you could use the population method Hope that helps
Deviation of the measured value from the true value of the variable being measured
The units of dispersion are dependent on the units of the data being measured. Common measures of dispersion include variance and standard deviation, which have square units and the same units as the data being measured, respectively. Another measure, such as the coefficient of variation, is a unitless measure of dispersion relative to the mean.
The correlation between an asset's real rate of return and its risk (as measured by its standard deviation) is usually:
To get the accuracy or to get the relative deviation.
Gentic variation is mearsured by the number of species in the given area not.