Cs251 Spring 2014 Lecture 12
نویسنده
چکیده
1 Probability distribution functions Probability distribution functions assign probabilities to each of the possible outcomes of a random experiment. These distributions can be continuous (e.g. grading on a 4.0 scale), or discrete (e.g. grading with letter grades) (see Fig. 2). Figure 1: Terminology for continuous and discrete probability distributions. A probability distribution function specifies the probability of a random variable X taking on a particular value. The most commonly used PDF is the Gaussian distribution, or normal distribution. A PDF for a single continuous random variable can be any function with an integral of 1.
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Cs251 Spring 2016 Lecture 12
1 Probability distribution functions Probability distribution functions assign probabilities to each of the possible outcomes of a random experiment. These distributions can be continuous (e.g. grading on a 4.0 scale), or discrete (e.g. grading with letter grades) (see Fig. ??). Figure 1: Terminology for continuous and discrete probability distributions. A probability distribution function spec...
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1 Probability distribution functions Probability distribution functions assign probabilities to each of the possible outcomes of a random experiment. These distributions can be continuous (e.g. grading on a 4.0 scale), or discrete (e.g. grading with letter grades) (see Fig. 2). Figure 1: Terminology for continuous and discrete probability distributions. A probability distribution function speci...
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These notes are based on the course Math 212, Homological Algebra given by professor Paul Balmer on Spring 2014. Most of these notes were live-TEXed in class. The footnotes are added by me.
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