The correlation between an asset's real rate of return and its risk (as measured by its
standard deviation) is usually:
Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.
The standard deviation is the square root of the variance.
The more precise a result, the smaller will be the standard deviation of the data the result is based upon.
The standard deviation of a set of data is a measure of the random variability present in the data. Given any two sets of data it is extremely unlikely that their means will be exactly the same. The standard deviation is used to determine whether the difference between the means of the two data sets is something that could happen purely by chance (ie is reasonable) or not.Also, if you wish to take samples of a population, then the inherent variability - as measured by the standard deviation - is a useful measure to help determine the optimum sample size.
A correlation of 0.20 is somewhat low, meaning that the degree of linear relationship measured between the two variables involved is low. However, such a degree of relationship would not be ignored in many fields of science where relationships are difficult to detect. Correlation is rarely if ever put in terms of percentage.
To calculate the standard deviation of a portfolio, you need to first determine the individual standard deviations of each asset in the portfolio, as well as the correlation between the assets. Then, you can use a formula that takes into account the weights of each asset in the portfolio to calculate the overall standard deviation. This helps measure the overall risk of the portfolio.
Standard deviation doesn't have to be between 0 and 1.
Standard deviation is the square root of the variance.
Standard deviation is the variance from the mean of the data.
Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.
The distance between the middle and the inflection point is the standard deviation.
The standard deviation is the square root of the variance.
The mean is the average value and the standard deviation is the variation from the mean value.
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The speed of light is always the same.
Yes, correlations can be measured using statistical methods such as Pearson's correlation coefficient or Spearman's rank correlation coefficient. These measures quantify the strength and direction of the relationship between two variables.
The more precise a result, the smaller will be the standard deviation of the data the result is based upon.