Q: The expected value of perfect information is equal to what?

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The expected value of the number of Heads in 1 toss of a fair coin is 0.5. So the expected number of Heads in 10000 tosses of a fair coin is ... 5000!

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.

yes

All we can deduce from that information is that k is a positive perfect square. Is that really the whole question? What?

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Evopi = evw/pi – evw/o pi

The expected value of the standard normal distribution is equal to the total amount of the value. It is usually equal to it when the value works out to be the same.

The value of perfect information is a management accounting theory which highlights the difference between the expected value based on probability of occurrence and the maximum possible value a seller or manufacturer can make if he or she has an idea of actual demand for his or her products.

yes?

The expected value of the number of Heads in 1 toss of a fair coin is 0.5. So the expected number of Heads in 10000 tosses of a fair coin is ... 5000!

A residual is defined in the context of some "expected" value. There is no information in the question regarding expected values.

You cannot; there is insufficient information.

The chi-squared test is used to compare the observed results with the expected results. If expected and observed values are equal then chi-squared will be equal to zero. If chi-squared is equal to zero or very small, then the expected and observed values are close. Calculating the chi-squared value allows one to determine if there is a statistical significance between the observed and expected values. The formula for chi-squared is: X^2 = sum((observed - expected)^2 / expected) Using the degrees of freedom, use a table to determine the critical value. If X^2 > critical value, then there is a statistically significant difference between the observed and expected values. If X^2 < critical value, there there is no statistically significant difference between the observed and expected values.

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.

Bond valuation has one fundamental principle. This principle is that the bond has a value that is equal to the present value of the expected cash flow that will occur in the future.