true or false urrrrrfent please Variance and standard deviation provide one measure of uncertainty or the risk in outcomes.
		Risk refers to the chance that some unfavorable event will occur, and a probability distribution is completely described by a listing of the likelihood of unfavorable events.
		Geometric mean of returns is a common measure for risk of return.
		Standard deviation measures non-diversifiable risk.
		We use the expected return as the measure of the dispersion for a distribution.
		We use the expected risk as a measure of central tendency.
		When a distribution is skewed to the left, the standard deviation will underestimate risk.
		When a distribution is skewed to the right, the standard deviation will underestimate risk.
		The higher the variability or the volatility of the outcomes is, the lower will be the squared deviations.
		When a distribution is skewed to the right, the extreme positive values dominate and the measure is positive.
		Normal distribution has a skewness equal to 3.