Lecture 7
... The equally likely approach usually relies on symmetry to assign probabilities to events ◦ As such, previous research or experiments are not needed to determine the probabilities Suppose that an experiment has only n outcomes The equally likely approach to probability assigns a probability of 1/ ...
... The equally likely approach usually relies on symmetry to assign probabilities to events ◦ As such, previous research or experiments are not needed to determine the probabilities Suppose that an experiment has only n outcomes The equally likely approach to probability assigns a probability of 1/ ...
Chapter 6, Section 3
... In Section 5.2, we noted that residents of a large apartment complex can be classified based on the events A: reads USA Today and B: reads the New York Times. The Venn Diagram below describes the residents. ...
... In Section 5.2, we noted that residents of a large apartment complex can be classified based on the events A: reads USA Today and B: reads the New York Times. The Venn Diagram below describes the residents. ...
Section 2.6
... A permutation is a listing of objects where the order of the objects in the list is important. Usually, some ranking or order of the list is given to note its importance. In a combination, the order of the objects in the list is not important. Thus, counting the number of permutations and combinati ...
... A permutation is a listing of objects where the order of the objects in the list is important. Usually, some ranking or order of the list is given to note its importance. In a combination, the order of the objects in the list is not important. Thus, counting the number of permutations and combinati ...
1 Modeling Randomness
... with different instances and should be efficient on many inputs. To take into account data variability, there are two kinds of approaches. The first one, worst case analysis, gives an upper bound on the complexity of algorithms. So the worst case guarantees that the program finishes before some time ...
... with different instances and should be efficient on many inputs. To take into account data variability, there are two kinds of approaches. The first one, worst case analysis, gives an upper bound on the complexity of algorithms. So the worst case guarantees that the program finishes before some time ...
5-83. Darnell designed the spinner at right for a game. It still has one
... you got your answer. B. What is the probability that on any turn you will not get to spin again? C. Which is more likely: to lose a turn or to select a card? Show how you know. a. 5-84. Manuel used pattern blocks to build the shapes below. The block marked A is a square, B is a trapezoid, C is a rho ...
... you got your answer. B. What is the probability that on any turn you will not get to spin again? C. Which is more likely: to lose a turn or to select a card? Show how you know. a. 5-84. Manuel used pattern blocks to build the shapes below. The block marked A is a square, B is a trapezoid, C is a rho ...
Lecture 2
... from a lottery, empirical observation) or s/he came up with them on her/his own. • The ultimate aim is to present a succinct way to capture rational human behavior when faced with situations of uncertainty. • This theory will not be perfect – we will point out many shortcomings. However, it is the b ...
... from a lottery, empirical observation) or s/he came up with them on her/his own. • The ultimate aim is to present a succinct way to capture rational human behavior when faced with situations of uncertainty. • This theory will not be perfect – we will point out many shortcomings. However, it is the b ...