15
If there is zero deviation all the observations are 50.
0.75
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
There is no actual "smallest" observation - a standard deviation of zero means that all 100 of the observations had to be 46.
Approx 95% of the observations.
1. mu (population mean) 2. sigma (population standard deviation)
If there is zero deviation all the observations are 50.
The statement is probably: The mean and standard deviation of a distribution are 55 and 4.33 respectively.
0.75
The standard deviation of the population. the standard deviation of the population.
How can the return and standard deviation of a portfolio be deteremined
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
There is no actual "smallest" observation - a standard deviation of zero means that all 100 of the observations had to be 46.
The standard deviation of a set of data is a measure of the spread of the observations. It is the square root of the mean squared deviations from the mean of the data.
The standard deviation if the data is a sample from a population is 7.7115; if it is the population the standard deviation is 7.0396.
They are statistical measures. For a set of observations of some random variable the mean is a measure of central tendency: a kind of measure which tells you around what value the observations are. The standard deviation is a measure of the spread around the mean.
No.