Cima cert exam Study guides, Class notes & Summaries

CIMA Cert Exam Study Guide the average squared difference between the mean and each item in the population or sample - variance measure of dispersion expressed as the square root of the variance; measure of volatility and the dispersion from an average; used in CAL, Sharpe, M2 and IR - standard deviation describes asymmetry of data points from a normal distribution - skewness measures the peakedness of probability distribution or normal distribution curve -positive - more slender,...

The average squared difference between the mean and each item in the population or sample - Answer- variance Measure of dispersion expressed as the square root of the variance; measure of volatility and the dispersion from an average; used in CAL, Sharpe, M2 and IR - Answer- standard deviation Describes asymmetry of data points from a normal distribution - Answer- skewness Measures the peakedness of probability distribution or normal distribution curve -positive - more slender, high pe...

the average squared difference between the mean and each item in the population or sample - variance measure of dispersion expressed as the square root of the variance; measure of volatility and the dispersion from an average; used in CAL, Sharpe, M2 and IR - standard deviation describes asymmetry of data points from a normal distribution - skewness measures the peakedness of probability distribution or normal distribution curve -positive - more slender, high peak/fat tails -negative - th...

the average squared difference between the mean and each item in the population or sample - variance measure of dispersion expressed as the square root of the variance; measure of volatility and the dispersion from an average; used in CAL, Sharpe, M2 and IR - standard deviation describes asymmetry of data points from a normal distribution - skewness measures the peakedness of probability distribution or normal distribution curve -positive - more slender, high peak/fat tails -negative - th...