z = (x-mean)/sd = (16.1-15.2)/0.9 = 0.9/0.9 = 1
Pr(Z > 1) = 15.8655 %
In general, a mean can be greater or less than the standard deviation.
a mean of 1 and any standard deviation
30 percent.
a is true.
Yes; the standard deviation is the square root of the mean, so it will always be larger.
Standard deviation can be greater than the mean.
It does not indicate anything if the mean is greater than the standard deviation.
In general, a mean can be greater or less than the standard deviation.
with mean of and standard deviation of 1.
The mean and standard deviation do not, by themselves, provide enough information to calculate probability. You also need to know the distribution of the variable in question.
a mean of 1 and any standard deviation
30 percent.
0.8413
with mean and standard deviation . Once standardized, , the test statistic follows Standard Normal Probability Distribution.
In the same way that you calculate mean and median that are greater than the standard deviation!
a is true.
The mean deviation (also called the mean absolute deviation) is the mean of the absolute deviations of a set of data about the data's mean. The standard deviation sigma of a probability distribution is defined as the square root of the variance sigma^2,