Rejected quarters The probability that a random quarter is not rejected by a vending machine is given by the
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- suppose x has an exponential distribution with B=1/8 , then P(X>1)arrow_forwarda variance of 0.27. Test the company's claim at a = 0.05. n241arrow_forwardLet X = the time between two successive arrivals at the drive-up window of a local bank. If X has an exponential distribution with 1 = 1, (which is identical to a standard gamma distribution with 1), compute the following. (If necessary, round your answer to three decimal places.) αΞ (a) The expected time between two successive arrivals 1 (b) The standard deviation of the time between successive arrivals 1 (c) P(X < 3) (d) P(2 < X < 5)arrow_forward
- A certain disease has an incidence rate of 0.9%. If the false negative rate is 8% and the false positive rate is 2%, compute the probability that a person who tests positive actually has the disease. 0.998 x 0.29466192170819 Give your answer accurate to at least 3 decimal placesarrow_forward79037 The tensile strength (in ksi) of a certain steel at -150° F is normally distributed with a mean of 100 ksi and standard deviation of 10 ksi. Compute the probability that tensile strength (in ksi) is more than 115.5 for a random sample. 202arrow_forwardAn exponential distribution has a parameter A. Find the probability that it will take on a value less than or equal to (-1/A) * In(1 – p)5 Hint: Write the answer in terms of parrow_forward
- The probability that a lion kills a deer in a day of hunting is 20%. Assume that results are independent between days. What is the probability that the lion must wait fi ve days for its first successful hunt? 0.08192 0.91808 1 None O Ei 84°F Mostly sunny DELL F11arrow_forwardSuppose you are allowed to choose any weights as long as they sum to 1. Could you always find a set of weights that would make the MSE smaller for a weighted moving average than for an unweighted moving average? Why or why not?arrow_forwardFind the standard deviation, s, of sample data summarized in the frequency distribution table given below by using the formula below, where x represents the class midpoint, f represents the class frequency, and n represents the total number of sample values. Also, compare the computed standard deviation to the standard deviation obtained from the original list of data values, 9.0. [E(r•*')]- [E«•»]° S= n(n- 1) Interval 20-26 27-33 34-40 41-47 48-54 55-61 Frequency 4 20 40 18 8 Standard deviation = (Round to one decimal place as needed.)arrow_forward
- Let X binomial(n=10000,p32%). Find P(X > 232) using normal approximation. 0.9854 0.0146 0.9878 O 0.0122arrow_forwardThe velocity of a particle in a gas is a random variable X with probability distribution fx(x) = 32x²e-4x The kinetic energy of the particle is Y = 1/mX². Suppose that the mass of the particle is 64 yg. Find the probability distribution of Y. (Do not convert any units.) x >0.arrow_forwardCompute P(X) using the binomial probability formula. Then determine whether the normal distribution can be used to estimate this probability. If so, approximate P(X) using the normal distribution and compare the result with the exact probability. n= 48, p= 0.3, and X = 6 For n= 48, p = 0.3, and X = 6, find P(X). P(X) = (Round to four decimal places as needed.) Can the normal distribution be used to approximate this probability? O A. Yes, the normal distribution can be used because np(1-p) 2 10. O B. Yes, the normal distribution can be used because np(1-p)s 10. O C. No, the normal distribution cannot be used because np(1-p)< 10. O D. No, the normal distribution cannot be used because np(1- p)2 10. Approximate P(X) using the normal distribution. Select the correct choice below and fill in any answer boxes in your choice. O A. P(X)= (Round to four decimal places as needed.) O B. The normal distribution cannot be used. By how much do the exact and approximated probabilities differ? Select…arrow_forward
- Mathematics For Machine TechnologyAdvanced MathISBN:9781337798310Author:Peterson, John.Publisher:Cengage Learning,