i) ii) iii) iv) Compute the probability that X is less than 2.5 Calculate the expected value of X Determine E (50 - 7X). Given that E(X²) = 5. Find the variance of X.
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- Calculate the probability that X + Y ≤ 2 for random variables withjoint probability density function as in .Suppose X is a random variable taking values in the interval [0,2] with probability density function f(x) = 1-x/2. What is the variance of X?The random variable x is known to be uniformly distributed between 1.0 and 1.5.a. Show the graph of the probability density function
- What is the expected value of a continuous random variable X with a probability density function f(x) = (1/sqrt(2 * pi)) * e^-((x^2)/2)?The probability density function of the continuous random variable X defined in the set of non-negative real numbers is given as f(x) = 2.exp(-2x). What is the expected value of X?Suppose that the error in the input voltage for a laboratory experiment is a continuous random variable X having the following probability density function : refer to the image below
- On a production line, parts are produced with a certain average size, but the exact size of each part varies due to the imprecision of the production process. Suppose that the difference between the size of the pieces produced (in millimeters) and the average size, which we will call production error, can be modeled as a continuous random variable X with a probability density function given by f(x) = 2, 5e^(-5|x|), for x E R (is in the image). Parts where the production error is less than -0.46 mm or greater than 0.46 mm should be discarded. Calculate (approximating to 4 decimal places): a) What is the proportion of parts that the company discards in its production process? b) What is the proportion of parts produced where the production error is positive? c) Knowing that for a given part the production error is positive, what is the probability of this part being discarded?What are the expected value and the standard deviation of the area of the circle whose radius is a random variable X with density function f(x) = 1 for 0 < x < 1 and f(x) = 0 otherwise ?If X has an exponential distribution with the param-eter θ, use the distribution function technique to find the probability density of the random variableY = ln X.