Let X and y be independent random variables, and obey the uniform distribution on the interval (0,2), then the probability density of Z = x / y is obtained

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• 1. Suppose that the random variable x obeys the uniform distribution on the interval [- 1,1], then the probability density of y = 2-x is obtained
• 2. Let the random variables X and y be independent and obey the uniform distribution on the interval [0, a], and then calculate the probability density of the random variable z = x / y
• 3. If the random variables X and y are independent of each other and obey the uniform distribution on the interval (0,1), then the following random variables obey the uniform distribution A.x & # 178; b.x + y, C. (x, y) d.x-y, please give me a process,
• 4. Probability theory: let the probability density of random variable X be f (x) = {A / X & # 178;, x > 10; 0, X
• 5. In probability theory, if the probability density f (x) of continuous random variable changes the value of finite points of F (x), f (x) is still the probability density. Why?
• 6. Probability theory and distribution function of mathematical statistics random variable First of all, the definition is as follows: FX (x) = P ({w belongs to R: X (W))
• 7. Probability theory and distribution function of random variables in mathematical statistics Let the distribution law of random variable X be X -1 2 3 p 0.25 0.5 0.25 Finding P {2 ≤ x ≤ 3} through the distribution function of X The solution is p {2 ≤ x ≤ 3} = f (3) - f (2) + P {x = 2} I want to ask why we add "P {x = 2}" and what is the relationship between the equal sign of 2 ≤ x ≤ 3
• 8. Probability theory and distribution function of mathematical statistics The absolute value of random variable x is not greater than 1, P {x = - 1} = 1 / 8, P {x = 1} = 1 / 4; in the event {- 1} In order to attract the audience, specially register a new number to send points~
• 9. Probability density function and distribution function of random variables Let the probability density function of two-dimensional random variables (x, y) be xe^(-y),0
• 10. Let the random variable x ~ U (0,1), try to find: (1) the distribution function and density function of y = e ^ X; (2) the distribution function and density function of Z = - 2x
• 11. 1. Let the random variable x obey the uniform distribution on the interval (0,2), and try to find the probability density of the random variable y = x2. (X2 is the square of X, and the small 2 above cannot be found on Baidu.) 2、
• 12. Suppose that the random variables X and y are independent of each other and obey the uniform distribution on [0,1], the probability density of X + y is obtained
• 13. Suppose that the random variables X and y are independent of each other and obey the uniform distribution on [- 1,1], the probability density of X and Y is obtained The random variables X and y are independent of each other and obey uniform distribution on [- 1,1]. The probability density of X and Y is calculated
• 14. In the interval [- 1 / 2,1 / 2], take a number x randomly, so that the probability of cos π X between 1 / 2 and √ 2 / 2 is 0 A 1/6 B 1/5 C 1/4 D 1/3
• 15. In the interval [- 1,1], take a random number x, the probability of cos π x2 between 0 and 12 is () A. 13B. 2πC. 12D. 23
• 16. If we take a random number x in the interval [- 1,1], then the probability that the value of cos π x is between 1 / 2 and 1 is 0
• 17. In the interval [- 1,1], take a random number x, the probability of cos π x2 between 0 and 12 is () A. 13B. 2πC. 12D. 23
• 18. In the interval [- 1,1], the probability that the value of a number x, cos Π X / 2 is between 0 and 1 / 2 is taken at random
• 19. In the interval [- 2,2], take a number x randomly, then the probability of x ^ 2 between 0 and 1 is zero
• 20. Given that a straight line passes (- 1,0) point, a straight line and a circle: (x-1) ^ 2 + y ^ 2 = 3 intersect at two points a and B, what is the probability of chord length AB > = 2?