No. The expected value is the mean!
The expected value is the average of a probability distribution. It is the value that can be expected to occur on the average, in the long run.
negative nine is the value of negative nine
The chi-squared statistic is calculated by summing (O-E)2/E where E and O are the expected and observed values for some category, and the summation is carried out over all categories. The expected number of observations for any category cannot be negative, and the numerators are squares so each element in the summation is non-negative. Consequently the sum is non-negative.
The opposite is: negative (the absolute value of negative 30).
Yes it can be negative.
Depending on whether you subtract actual value from expected value or other way around, a positive or negative percent error, will tell you on which side of the expected value that your actual value is. For example, suppose your expected value is 24, and your actual value is 24.3 then if you do the following calculation to figure percent error:[percent error] = (actual value - expected value)/(actual value) - 1 --> then convert to percent.So you have (24.3 - 24)/24 -1 = .0125 --> 1.25%, which tells me the actual is higher than the expected. If instead, you subtracted the actual from the expected, then you would get a negative 1.25%, but your actual is still greater than the expected. My preference is to subtract the expected from the actual. That way a positive error tells you the actual is greater than expected, and a negative percent error tells you that the actual is less than the expected.
No. Unless the non-financial value was more than enough to offset the expected financial loss.
No. The expected value is the mean!
The expected value is the average of a probability distribution. It is the value that can be expected to occur on the average, in the long run.
The expected value of a Martingale system is the last observed value.
negative nine is the value of negative nine
It is the expected value of the distribution. It also happens to be the mode and median.It is the expected value of the distribution. It also happens to be the mode and median.It is the expected value of the distribution. It also happens to be the mode and median.It is the expected value of the distribution. It also happens to be the mode and median.
The chi-squared statistic is calculated by summing (O-E)2/E where E and O are the expected and observed values for some category, and the summation is carried out over all categories. The expected number of observations for any category cannot be negative, and the numerators are squares so each element in the summation is non-negative. Consequently the sum is non-negative.
For a population the mean and the expected value are just two names for the same thing. For a sample the mean is the same as the average and no expected value exists.
If the absolute value of the negative is bigger than that of the positive, then the answer is negative. If the absolute value of the negative is the same, then zero. If the absolute value of the negative is smaller, then positive. Absolute value is the value ignoring the sign.
The expected value is 7.