ESSAY THREE IN PDF FORMAT
... Using rand() function in spreadsheet with no argument, we can generate as many random numbers as we want. This function generates uniform random numbers, that is, uniformly distributed numbers from the interval [0,1]. For example, suppose that I want randomly zeros and ones. First, I generate, say, ...
... Using rand() function in spreadsheet with no argument, we can generate as many random numbers as we want. This function generates uniform random numbers, that is, uniformly distributed numbers from the interval [0,1]. For example, suppose that I want randomly zeros and ones. First, I generate, say, ...
Unit 4 Review packet
... c. What is the probability that the first two customers both get a 50% discount? d. What is the probability that none of the first three customers gets more than a 30% discount? e. What is the probability that the first customer to win a 30% discount is the sixth customer that enters the store? f. W ...
... c. What is the probability that the first two customers both get a 50% discount? d. What is the probability that none of the first three customers gets more than a 30% discount? e. What is the probability that the first customer to win a 30% discount is the sixth customer that enters the store? f. W ...
Basic Rules of Combining Probability
... a. The basic idea for calculating the number of choices: - There are n1 possible results from one operation. - For each of these, there are n2 possible results from a second operation. - Then here are (n1Xn2) possible outcomes of the two operations together. ...
... a. The basic idea for calculating the number of choices: - There are n1 possible results from one operation. - For each of these, there are n2 possible results from a second operation. - Then here are (n1Xn2) possible outcomes of the two operations together. ...
PowerPoint
... • Mutually Exclusive events cannot be independent. Well, why not? • Since we know that Mutually Exclusive events have no outcomes in common, knowing that one occurred means the other didn’t. Thus, the probability of the second occurring changed based on our knowledge that the first occurred. It foll ...
... • Mutually Exclusive events cannot be independent. Well, why not? • Since we know that Mutually Exclusive events have no outcomes in common, knowing that one occurred means the other didn’t. Thus, the probability of the second occurring changed based on our knowledge that the first occurred. It foll ...
Probability #1
... 60% or 80%, but somewhere in between. But 60% and 80% represent the probabilities she gets to school on time given that it does NOT rain or that it does rain, respectively. Let A represent the event it rains and let B represent the event that Sue gets to school on time. Thus, p (B | A) = 60% and ...
... 60% or 80%, but somewhere in between. But 60% and 80% represent the probabilities she gets to school on time given that it does NOT rain or that it does rain, respectively. Let A represent the event it rains and let B represent the event that Sue gets to school on time. Thus, p (B | A) = 60% and ...
