A probability distribution function is modeled by the following X-Y cartesian graph: 15 kT 长 6 7 12 Determine the following: 1. Probability density function for the intervals defined on the graph. 2. Expected value of X. 3. Variance of X. I
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- Obtain the characteristic function of the normal distribution. Deduce the first four central moments.Buses arrive at a specified stop at 15-minute intervals starting at Î AM. That is, they arrive at 7, 7:15, 7:30, 7:45, and so on. If a passenger arrives at the stop at a time that is uniformly distributed between 7 and 7:30, find the probability that he waits (a) less than 5 minutes for a bus; (b) more than 10 minutes for a bus.sample (unit: hours): 3.6, 4.8, 4.6, 6.7, 5.4, 5.7, 7.3, 9.4, 8.7, 5.1, 6.3, 4.7 a) assume the population is a gamma distribution, how to use this sample estimate the parameter of the distribution? b) assume the pupulation is a uniform distribution, how to use this sample to estimate the parameter of the distribution?
- Direction: Determine each of the following areas of specific regions under the normal curve using probability notation. Then show each of these regions graphically. 1. At most z = -1.5 2. At least z = -2Q4: The probability mass function of a discrete random variable X is given by the following table: X 1 2 3 4 5 6 P(X) 1/36 3/36 5/36 7/36 9/36 11/36 Find 1- Cumulative distribution function. 2- Draw a graph of the probability mass function and cumulative distribution function. 3- Mean and variance. 4- Standard deviation.The discrete random variable X has the probability distribution given by: -1 1 2 3 P(X = x) 0.2 r 0.4r 0.2 c. What is the variance of the random variable X? Answer in exact fraction or exact decimals d. Find the variance of the random variable Y, where Y = 6 – 2X Answer in exact fraction or exact decimals
- Q4: The probability mass function of a discrete random variable X is given by the following table: X 1 2 3 4 5 6 P(X) 1/36 3/36 5/36 7/36 9/36 11/36 Find 1- Cumulative distribution function. 2- Draw a graph of the probability mass function and cumulative distribution function. 3- Mean and variance. 4- Standard deviation.Define the following statistical expressions Distribution – Parameter – statisticalFind the Z scores for which 90% of the distributions area lies between -z and z 1) -1.96 ,1.96 2) -0.99 ,0.99 3) -1.645, 1.645 4) -2.33, 2.33 select the correct answer
- Let X have beta distribution with a = 2 and B = 3. Then the mean and the variance of X, respectively, are Select one: O a. 0.04 and 0.4 O b. 0.02 and 0.04 O c. 0.4 and 0.04 O d. 0.4 and 0.20he chance of an IRS audit for a tax return with over $25,000 in income is about 2% per year. We are interested in the expected number of audits a person with that income has in a 10-year period. Assume each year is independent. Give the distribution of X.X ~