babilities that fast – food restaurant sells 10, 20, 30, 50, 100 burgers daily are 0.20, 0.30, 0.25, 0.15, 0.10 respectively. Let e number of burgers that a fast – food restaurant sells. = the expected value of A?
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- Decide whether the random variable X is discrete or continuous. X represents the tension at which a randomly selected guitars strings have been strong.Broad Explanation Please The operator of a pumping station has observed that demand for water during early afternoon hours has an approximately exponential distribution with mean 1000 cfs (cubic feet per second). a) What water-pumping capacity should the station maintain during early afternoons so that the probability that demand will be below the capacity on a randomly selected day is 0.995? b ) Of the three randomly selected afternoons, what is the probability that on at least two afternoons the demand will exceed 700 cfs?Solve asap
- helpComplete the PDF. P(X = x) x • P(X = x) 0.1 1 0.4 0.2 O Part (a) Find the probability that X = 2. O Part (b) Find the expected value.Determine whether the random variable is discrete or continuous. In each case, state the possible values of the random variable. (a) The number of light bulbs that burn out in the next week in a room with 20 bulbs. (b) The weight of a T-bone steak. ... (a) Is the number of light bulbs that burn out in the next week in a room with 20 bulbs discrete or continuous? OA. The random variable is continuous. The possible values are x = 0, 1, 2,..., 20. OB. The random variable is continuous. The possible values are 0≤x≤20. OC. The random variable is discrete. The possible values are x = 0, = 0, 1, 2,..., 20. O D. The random variable is discrete. The possible values are 0≤x≤20. (b) Is the weight of a T-bone steak discrete or continuous? O A. The random variable is discrete. The possible values are w= 1, 2, 3, .... OB. The random variable is continuous. The possible values are w=1, 2, 3, .... OC. The random variable is discrete. The possible values are w> 0. OD. The random variable is continuous.…
- PlzattachedOnly type answer There is a room with N bulbs turned on along the exponential distribution, which has a life independent of each other and an average of 1/μ time. a) Find the probability distribution of the time it took for the bulb to turn off the first time. b) Find the probability distribution of the time it took for all the bulbs to turn off.
- Urgent answer as quick as possible please, thanks.Tossa coin once, S = (H,T) with P,(H) = p and P,(T) = q. Define X(-) by X(H) = ₁ X(T) = 0. Compute and plot the probability distribution function F, (x).Suppose Y - Uniform(01, 02) where the parameters and 02 take the values 1 and 5 respectively. Compute the probability P(Y < y) when y=4.71.