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It is the average (arithmetic mean) value of a variable that you would expect to get if the relevant experiment were repeated many times.
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Is the mean of probability distribution is called its expected value?
No. The mean is the expected value of the random variable but you can also have expected values of functions of the random variable. If you define X as the random variable representing the result of a single throw of a fair die, the expected value of X is 3.5, the mean of the probability distribution of X. However, you play a game where you pay someone a certain amount of money for each throw of the die and the other person pays you your "winnings" which depend on the outcome of the throw. The variable, "your winnings", will also have an expected value. As will your opponent's winnings.
The expected value of perfect information is equal to what?
Minimum Expected Regret ( EVPI = Expected Regret of the best solution)
How do you make a function table for y equals -4x2?
Choose some values for x. Then calculate the corresponding values of y using the formula. Put these values in a table.Choose some values for x. Then calculate the corresponding values of y using the formula. Put these values in a table.Choose some values for x. Then calculate the corresponding values of y using the formula. Put these values in a table.Choose some values for x. Then calculate the corresponding values of y using the formula. Put these values in a table.
Is the expected value the same as the standard deviation?
No. The expected value is the mean!
What is the meaning of expected value in a probability distribution?
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.
Can expected values be infinite how about variance?
The answer to both questions is yes.
How does technology affect our values today?
as expected by the proper values there is an increase in technology by an increase of money and research
What is the residual for the point (36)?
A residual is defined in the context of some "expected" value. There is no information in the question regarding expected values.
What is the chi square test used for?
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.
Atoms with greatly differing electronegativity values are expected to form what?
an ionic bond
What are atoms with greatly differing electronegativity values expected to form?
an ionic bond
How find chi square if only one frequency table is given?
You seem to be referring to the Pearson chi-square test-of-fit statistic. To do this you need not only the observed values in a frequency table (which you have) but the expected (or theoretical) values for that table.In practical situations the expected values are obtained by making some educated guess about what distribution the observed values came from, estimating the parameters of that distribution and then using the estimated distribution to obtain the required expected values to calculate the chi-square.In short, you need more information.
What values of PH is expected in lemon?
A lemon is acidic so a low pH is expected. The pH of lemon juice is about 2.0, which means this fruit is highly acidic.
What is the number of offsprings from a genetic cross the closer the resulting offspring numbers will expected values?
liter
What does chi-square equals 0 mean?
It means that the observed values in the experiment all exactly match the expected values. That is unlikely, unless the experiment was "fixed".
What are the characteristics of a good measure of dispersion?
A good measure of dispersion is one such that the a goodness-of-fit test shows that the observed values agree well with the expected values.
Is the expected value of any random variable just the average of the values?
The expected value is the long-run average value of repetitions of the experiment it represents.
