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I have 3 individual questions related to a class lecture that we had on Payoff Alternatives and Regret. These questions should be VERY simple, and probably take less than 2 minutes to answer... so I believe that one (1) credit is reasonable for the quick answers...
1. Is it true that the payoff at the end of a decision tree represents everything along the path leading to that end?
2. Are the several potential outcomes resulting from a decision called "decision alternatives", or are they called "states" ?
3. For a given event, if the payoffs for alternatives 1, 2, and 3 (the only alternatives) are 50, 125, and -50 respectively, what is the regret associated with alternative 1?
Correlation between competence Scores and Internal Scores
For what values of k is the origin a hyperbolic equilibrium point of the system ? In this case, classify it as a sink, source or saddle. For what values of k is the origin a Non-hyperbolic equilibrium point of the system ? In this case, determine..
Find the number of hours that represent the 40 percentile.
Think of a mathematical function that represents something from your own life. For example, suppose the number of beers you drink depends on the number of football games you watch. If you drink five beers during every football game, the function w..
Determine the following values
A motorcycle dealership has allocated 90% of its employees to the sales of motorcycles of which 70% of this 90% are male employees, this company has also determined that 80% of all its employees are male.
Write the complex number in rectangular form. 7(cos120degrees + i sin120degrees) =
Statistical Probability: Emergency Call Rates. Let sample mean = 70 and the sample variance = 36 and assume the data is normally distributed. Use ths information to answer the following:
If you were to let A be a 6 x 14 matrix where the dimension of the row space is 3 (dim(R(A) = 3), what would the dimension of the null space of matrix A (dim(N(A)) be and what would the dimension of the null space of A^T (dim(N(A^T)) be?
What is the maximum number of multiplications required to solve a system of n equations with n unknowns using Gaussian Elimination and write a procedure to obtain the inverse of an n by n matrix usingGaussian elimination.
Probability & Statistics Questions. A machine produces 12,000 bolts per day, with a 3% defect rate. What is the probability that twelve defective bolts will be found in a sample of 600 bolts?
Let alpha = {x_1, x_2, ..., x_n} be an arbitrary orthonormal basis for V. Prove that T is orthogonal iff [T]_alphaalpha is an orthogonal matrix.
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