4. Random Variables, Bernoulli, Binomial, Hypergeometric
... probability that the 2 of them are red? Now suppose that you draw 5 jelly beans out of the bag. What is the probability that 3 are red and 2 are green? This is an example of a Hypergeometric random variable. The characteristic is “being red”. The population is the jelly beans in the bag, so N = 10. ...
... probability that the 2 of them are red? Now suppose that you draw 5 jelly beans out of the bag. What is the probability that 3 are red and 2 are green? This is an example of a Hypergeometric random variable. The characteristic is “being red”. The population is the jelly beans in the bag, so N = 10. ...
Statistics-1
... Independent events: either A & B has no effect on the other Example: event A: die 16, event B: die 24, P(A)=1/6, P(B)=1/6, two independent events, P(A and B)= P(A)P(B)=(1/6)(1/6)=1/36 Mutual exclusive: outcome of A will exclude outcome of B and vice versa Joint probability both A & B occur ...
... Independent events: either A & B has no effect on the other Example: event A: die 16, event B: die 24, P(A)=1/6, P(B)=1/6, two independent events, P(A and B)= P(A)P(B)=(1/6)(1/6)=1/36 Mutual exclusive: outcome of A will exclude outcome of B and vice versa Joint probability both A & B occur ...
Probability Rules
... Independent Events - events where the occurrence or nonoccurrence of one does not change the probability that the other will occur. For example: You select a card at random, record it, and then place it back in the deck. Since you replaced it, the probabilities when you select the 2nd card do not ch ...
... Independent Events - events where the occurrence or nonoccurrence of one does not change the probability that the other will occur. For example: You select a card at random, record it, and then place it back in the deck. Since you replaced it, the probabilities when you select the 2nd card do not ch ...
第二學習階段
... Key Stage 3 Data Handling Dimension Learning Unit : Simple Idea of Probability Learning Objectives : • explore the meaning of probability through various activities • have an intuitive idea about the relation between probability and the relative frequency as found in statistics or simulation activit ...
... Key Stage 3 Data Handling Dimension Learning Unit : Simple Idea of Probability Learning Objectives : • explore the meaning of probability through various activities • have an intuitive idea about the relation between probability and the relative frequency as found in statistics or simulation activit ...
Probability - WordPress.com
... Ex) Three shirts, 4 pairs of pants, and 2 pairs of shoes. How many outfits are possible? Try) 3 dice are rolled ...
... Ex) Three shirts, 4 pairs of pants, and 2 pairs of shoes. How many outfits are possible? Try) 3 dice are rolled ...
Discovery or fluke: STATISTICS IN PARTICLE PHYSICS
... There are two fundamental but very different approaches to statistical analysis: the Bayesian and frequentist techniques. The former is named after the 18th-century English theologian and mathematician Thomas Bayes (see the book review on page 54 of this issue). The two approaches differ in their in ...
... There are two fundamental but very different approaches to statistical analysis: the Bayesian and frequentist techniques. The former is named after the 18th-century English theologian and mathematician Thomas Bayes (see the book review on page 54 of this issue). The two approaches differ in their in ...
A quantum probability model of causal reasoning
... There are two possible ways to frame a causal reasoning problem. As formalized by Fernbach, Darlow, and Sloman (2011), a predictive probability judgment is represented by the conditional probability p(Effect | Cause) and a diagnostic probability judgment is represented by the conditional probability ...
... There are two possible ways to frame a causal reasoning problem. As formalized by Fernbach, Darlow, and Sloman (2011), a predictive probability judgment is represented by the conditional probability p(Effect | Cause) and a diagnostic probability judgment is represented by the conditional probability ...
