Stats

posted by .

Let Y be a random number between 0 and 1 produced by the idealized uniform random number generator with density curve pictured in the following figure:


P(<Y<0.4) =
P(0.4<Y<1) =
P(0.3<Y<0.5)+

Respond to this Question

First Name
School Subject
Your Answer

Similar Questions

  1. ap stats need help

    Continuous Random Variable, I Let X be a random number between 0 and 1 produced by the idealized uniform random number generator described. Find the following probabilities: a.P(0¡ÜX¡Ü0.4) b.P(0.4¡ÜX¡Ü1) c.P(0.3¡ÜX0.5) d.P(0.3(<X<0.5) …
  2. stats

    Continuous Random Variable, I Let X be a random number between 0 and 1 produced by the idealized uniform random number generator described. Find the following probabilities: a.P(0less than or equal to X less than or equal to 0.4) b.P(0.4 …
  3. ap stats

    Continuous Random Variable, I Let X be a random number between 0 and 1 produced by the idealized uniform random number generator described. Find the following probabilities: a.P(0less than or equal to X less than or equal to 0.4) b.P(0.4 …
  4. Statistics

    Let Y be a random number between 0 and 1 generated by an idealized random number generator. Find the following probabilities: A. P (0 less than equal to Y less than equal to .6) =?
  5. Statistics

    Let x and y be the amounts of time (in minutes) that a particular commuter must wait for a train on two independently selected days. Define a new random variable w by w = x + y, the sum of the two waiting times. The set of possible …
  6. statistics

    A random number generator draws at random with replacement from the digits 0, 1, 2, 3, 4, 5, 6, 7, 8, 9. In 5000 draws, the chance that the digit 0 appears fewer than 495 times is closest to 25%,30%,35%,40%,45%,50%
  7. statistics

    Let x and y be the amounts of time (in minutes) that a particular commuter must wait for a train on two independently selected days. Define a new random variable w by w = x + y, the sum of the two waiting times. The set of possible …
  8. Data Structures and Algorithms

    The "random" numbers produced by computers aren't purely random. They are actually pseudo-random, meaning that they are produced by mathematical formulas that simulate randomness.The linear congruential generator takes a seed X0 and …
  9. Stats

    Let the random variable X be a random number with the uniform density curve given below. P(0.6 < X < 0.9) is
  10. Statistics

    Let x and y be the amounts of time (in minutes) that a particular commuter must wait for a train on two independently selected days. Define a new random variable w by w = x + y, the sum of the two waiting times. The set of possible …

More Similar Questions