The absolute value of the z-score.
The probability of the mean plus or minus 1.96 standard deviations is 0. The probability that a continuous distribution takes any particular value is always zero. The probability between the mean plus or minus 1.96 standard deviations is 0.95
If you are talking about the z-value of a point on the normal curve, then no, it is 1.5 standard deviations BELOW the mean.
The answer depends on the value of the standard deviation. Without that information, the question cannot be answered.
z-score of a value=(that value minus the mean)/(standard deviation). So a z-score of -1.5 means that a value is 1.5 standard deviations below the mean.
Any real value >= 0.
It means that 95% of the values in the data set falls within 2 standard deviations of the mean value.
The definition of the mean x of a set of data is the sum of all the values divided by the total number of observations, and this value is in turn subtracted from each x value to calculate the deviations. When the deviations from the average are added up, the sum will always be zero because of the negative signs in the sum of deviations. Going back to the definition of the mean, the equation provided (x = Σxi/n) can be manipulated to read Σxi - x = 0
The difference is the PLACE VALUE is the number in standard form and the VALUE is the name of the place spot the number is in.
For different sets of data, the mean would be the summation of all observations, which are normally subdivided by the observation numbers. The mean value would frequently be quoted with standard deviations: mean would describe data central locations then standard deviations illustrate the spread. Substitute dispersion measures include mean variations that are always equal to average absolute deviations from the mean values. It is minimally responsive to the outliers. Hope this helps.
To give the particular number the largest possible value, arrange the digits in the order of their individual value, beginning with the largest one on the left and smallest on the right. To give the particular number its smallest possible value, arrange the digits in the order of their individual value, beginning with the smallest one on the left and largest on the right.