2012 SCSU MATH CONTEST 11 and 12 GRADE
... 15. Find the output when the following piece of code is executed. n = 10; i = 1; sum = 0; while( i < n ) ...
... 15. Find the output when the following piece of code is executed. n = 10; i = 1; sum = 0; while( i < n ) ...
NORMAL APPROXIMATION OF THE BINOMIAL DISTRIBUTION
... Therefore, when we use the normal distribution curve we need to consider a range of values instead of a specific discrete value. For example, 4.5 – 5.5 would represent a discrete value of 5. Looking at a range of 20 to 22 you would use 19.5 to 22.5 on the normal distribution curve. Not all binomial ...
... Therefore, when we use the normal distribution curve we need to consider a range of values instead of a specific discrete value. For example, 4.5 – 5.5 would represent a discrete value of 5. Looking at a range of 20 to 22 you would use 19.5 to 22.5 on the normal distribution curve. Not all binomial ...
Discrete Structures I - Faculty Personal Homepage
... 6. What is the probability that a poker hand contains a full house, that is, three of one kind and two of another kind? 7. What is the probability that the numbers 11,4, 17, 39, and 23 are drawn in that order from a bin containing 50 balls labeled with the numbers 1, 2, . . . , 50 if a) the ball sel ...
... 6. What is the probability that a poker hand contains a full house, that is, three of one kind and two of another kind? 7. What is the probability that the numbers 11,4, 17, 39, and 23 are drawn in that order from a bin containing 50 balls labeled with the numbers 1, 2, . . . , 50 if a) the ball sel ...
Factor of safety and probability of failure
... interval defined by the mean ± one standard deviation while approximately 95% of all the test results will fall within the range defined by the mean ± two standard deviations. A small standard deviation will indicate a tightly clustered data set while a large standard deviation will be found for a d ...
... interval defined by the mean ± one standard deviation while approximately 95% of all the test results will fall within the range defined by the mean ± two standard deviations. A small standard deviation will indicate a tightly clustered data set while a large standard deviation will be found for a d ...
The Learnability of Quantum States
... A Hint of What’s Possible… Theorem [A. 2004]: Any n-qubit quantum state can be “simulated” using O(n log n log m) classical bits, where m is the number of (binary) measurements whose outcomes we care about. Let E=(E1,…,Em) be two-outcome POVMs on an nqubit state . Then given (classical description ...
... A Hint of What’s Possible… Theorem [A. 2004]: Any n-qubit quantum state can be “simulated” using O(n log n log m) classical bits, where m is the number of (binary) measurements whose outcomes we care about. Let E=(E1,…,Em) be two-outcome POVMs on an nqubit state . Then given (classical description ...
Appendix C: Review of Large Sample Theory
... How is this applied in estimation situations of interest to us? As we will see, because many estimators of interest to us are not available in a closed form , things are not as simple as immediately identifying ηbn with Yn and then determining appropriate centering and scaling constants. Instead, wh ...
... How is this applied in estimation situations of interest to us? As we will see, because many estimators of interest to us are not available in a closed form , things are not as simple as immediately identifying ηbn with Yn and then determining appropriate centering and scaling constants. Instead, wh ...
Using Metrics in Stability of Stochastic Programming Problems
... A variety of optimization techniques are widely used when we model economical situation. Input parameters of such models could take different nature; especially important are these that are random by origin. Many approaches are possible. First, the simplest way is to ignore the randomness. This is a ...
... A variety of optimization techniques are widely used when we model economical situation. Input parameters of such models could take different nature; especially important are these that are random by origin. Many approaches are possible. First, the simplest way is to ignore the randomness. This is a ...
