statistics
posted by Anonymous .
A random variable may assume any value between 10 and 50 with equal likelihoods. (Uniform distribution) Determine the following values for this probability distribution: a) b) c) f(x) = d) P(x < 25) e) P(x > 15) f) P( 12 < x < 30)

c cannot be determined, as there are an infinite number of values between 10 and 50, and to exactly equal just one of them is infinitesimally small. Now if the random variable is allowed only on integer values, that is another problem
d. P(x<25)= (2510)/(5010)
Respond to this Question
Similar Questions

Statistics
Suppose that the probability distribution of a random variable x can be described by the formula P(x) = x/15 For each of the values x = 1, 2, 3, 4, and 5. For examples, then, p(x=2) = p(2) = 2/15 a Write out the probability distribution … 
Statistics
Suppose that the probability distribution of a random variable x can be described by the formula P(x) = x/15 For each of the values x = 1, 2, 3, 4, and 5. For examples, then, p(x=2) = p(2) = 2/15 a Write out the probability distribution … 
Statistics
If Y1 is a continuous random variable with a uniform distribution of (0,1) And Y2 is a continuous random variable with a uniform distribution of (0,Y1) Find the joint distribution density function of the two variables. Obviously, we … 
Statistics
Assume a population of any 4 numbers(suppose: 4,8,15,19). Select a random sample of size 2 with replacement from the population. List all the possible samples and their corresponding values of x̄ “xbar” and then find the … 
Statistics and Probability
Suppose you took 1000 random samples of size 200 from the Poisson distribution with u = 5 and computed a 90% confidence interval for each sample. Approximate the probability that at least 920 of these intervals would contain the mean … 
Statistics and Probability
Suppose you took 1000 random samples of size 200 from the Poisson distribution with u = 5 and computed a 90% confidence interval for each sample. Approximate the probability that at least 920 of these intervals would contain the mean … 
statistics
two dices are tossed once. let the random variable be t he sum of the up faces on the dice. A). find and graph the probability distribution of the random variable. and b) calculate the mean (or expectation) of this distribution 
statistics
A random variable X is best described by a continuous uniform distribution from 20 to 45 inclusive. The standard deviation of this distribution is approximately 
Statistics/probability
The random variable X has a binomial distribution with the probability of a success being 0.2 and the number of independent trials is 15. The random variable xbar is the mean of a random sample of 100 values of X. Find P(xbar<3.15). 
Statistic
Jake plays basketball. Assume y= the number of basketball goals that Jake makes during a given season, and assume y can only take values from 0 to 6. The following table represents the probability distribution for the discrete random …