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์ด ์งˆ๋ฌธ์€ ๋งˆ๊ฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ํŽธ์ง‘ํ•˜๊ฑฐ๋‚˜ ๋‹ต๋ณ€์„ ์˜ฌ๋ฆฌ๋ ค๋ฉด ์งˆ๋ฌธ์„ ๋‹ค์‹œ ์—ฌ์‹ญ์‹œ์˜ค.

probability of mass function

์กฐํšŒ ์ˆ˜: 1 (์ตœ๊ทผ 30์ผ)
Anjoud Alkathairi
Anjoud Alkathairi 2023๋…„ 4์›” 30์ผ
๋งˆ๊ฐ: Cris LaPierre 2023๋…„ 5์›” 1์ผ
Exercise # 2: Plot the probability mass function (PMF) and the cumulative distribution function (CDF) of 3 random variables each following (1) binomial distribution [p, n], (2) a geometric distribution [p], and (3) Poisson distribution [๐œ†]. You have to consider two sets of parameters per distribution which can be chosen arbitrarily. The following steps can be followed: Step 1: Establish two sets of parameters of the distribution: for Geometric and Poisson distributions take two values of p (p1 and p2) and take two values of [๐œ†], (๐œ†1 and ๐œ†2) respectively. For the binomial you should take two values of p and two values of n, first keep p fixed and change n, in the second keep n fixed and change p. Step 2: Generate the random variables (at least 10 values) [column 1] Step 3: Calculate the PMF [column 2] and CDF [column 3] Step 4: Plot the PMF and CDF in different graphics (It is recommended to combine the graphics while changing the parameters). Comment on how the parameters values affect the distribution.
  ๋Œ“๊ธ€ ์ˆ˜: 1
the cyclist
the cyclist 2023๋…„ 4์›” 30์ผ
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์ด ์งˆ๋ฌธ์€ ๋งˆ๊ฐ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

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