U.B.C. BIOLOGY 300
... 5. DISCRETE PROBABILITY DISTRIBUTIONS Probability distributions may be discrete or continuous. This week we will examine two common discrete distributions: the binomial and Poisson. We will use JMPin to generate random samples from these distributions and explore their characteristics. Binomial The ...
... 5. DISCRETE PROBABILITY DISTRIBUTIONS Probability distributions may be discrete or continuous. This week we will examine two common discrete distributions: the binomial and Poisson. We will use JMPin to generate random samples from these distributions and explore their characteristics. Binomial The ...
Probability
... Probability 1) A deli offers sandwiches with three choices of bread (white, wheat, or rye). There are also three choices for meat (ham, roast beef, and turkey), and a choice of mayo or no mayo. Make a tree diagram that represents all the possible combinations of bread, meat, and mayo. Then use the t ...
... Probability 1) A deli offers sandwiches with three choices of bread (white, wheat, or rye). There are also three choices for meat (ham, roast beef, and turkey), and a choice of mayo or no mayo. Make a tree diagram that represents all the possible combinations of bread, meat, and mayo. Then use the t ...
L12-13
... b are called statistics, and their distributions are called the sampling distributions. Lecture 12&13 - 8 ...
... b are called statistics, and their distributions are called the sampling distributions. Lecture 12&13 - 8 ...
1 Forthcoming in M. Massimi and J.W. Romeijn (eds.), European
... understood as the propensity of smoking to cause cancer. But it follows from our derivation that P (S/C) is then also well-defined at 40%, so it must also receive a propensity interpretation, which seems just impossible: There is simply no propensity of lung cancer to cause smoking. ...
... understood as the propensity of smoking to cause cancer. But it follows from our derivation that P (S/C) is then also well-defined at 40%, so it must also receive a propensity interpretation, which seems just impossible: There is simply no propensity of lung cancer to cause smoking. ...
Homework 2
... 1. Show that P [X|V−X ] = P [X|M B(X)], e.i. a variable is conditionally independent of all other variables given its Markov Blanket. Use the fact that X is conditionally independent of all its non-descendants given its parents (this is true by construction of the Bayesian Network). Be sure to speci ...
... 1. Show that P [X|V−X ] = P [X|M B(X)], e.i. a variable is conditionally independent of all other variables given its Markov Blanket. Use the fact that X is conditionally independent of all its non-descendants given its parents (this is true by construction of the Bayesian Network). Be sure to speci ...
Math 160, Finite Mathematics for Business Section 6.2: Intro to
... E∩F: The car is a red Chevrolet G’: The car is not a green Ford E∪G: The car is red OR a green Ford G∩H: The car is a black green Ford or the car is a green Ford Chrysler. (Assuming a car can only have 1 color and 1 make, this event is nonsensical, and describes an empty set) E’∩F’ The car is not re ...
... E∩F: The car is a red Chevrolet G’: The car is not a green Ford E∪G: The car is red OR a green Ford G∩H: The car is a black green Ford or the car is a green Ford Chrysler. (Assuming a car can only have 1 color and 1 make, this event is nonsensical, and describes an empty set) E’∩F’ The car is not re ...
Engineering Statistics
... 4. The return period of an earthquake with magnitude 7 in Central Taiwan is 100 years. a. Determine the probability that this region will have two or three earthquakes with this magnitude in the next 50 years (design life of a new structure). b. If the service life of an old structure is 30 years, w ...
... 4. The return period of an earthquake with magnitude 7 in Central Taiwan is 100 years. a. Determine the probability that this region will have two or three earthquakes with this magnitude in the next 50 years (design life of a new structure). b. If the service life of an old structure is 30 years, w ...
