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A residual is defined in the context of some "expected" value. There is no information in the question regarding expected values.
The data point is close to the expected value.
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.
WHATS THE VALUE
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.
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.
The optimal point in statistics refers to the point where a function reaches its maximum or minimum value. In the context of a probability distribution, the optimal point would typically refer to the mean or expected value of the distribution. This point represents the average value of the data and is often used as a measure of central tendency.
The expected value is 7.
Expected value is the outcome of confidence of how probability distribution is characterized. If the expected value is greater than the confidence interval then the results are significant.
the length would be anywhere between 1 and 1/2 and so the expected value is 1/4