Let x be a Bernoalli random variable with mean of 0.6. Find p (1 \leqx \leq 4 \) اختر احدى الدجابات None O 0.5 0.6 O 0.4
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- The figure on the right displays the randomization distribution for testing 0OL = rd"H versus H p > 100 X = 112 (@) If the sample mean is then the p-value is closest to: 001 or 0 25 (b) Which sample mean provides the strongest evidence against Ho? X = 104 X = 108 orSuppose X is a random variable with standard beta distribution and parameters (alpha) = 8 and (beta) = 2 What is (PX>=0.6)?Suppose the current measurements made on a conductor wire track follow a normal distribution with mean 10 milliamperes and variance 4 (milliamperes)^2 a) what is the probability that the value of a measurement is less than 9 milliamperes? b) what is the probability that the value of a measurement is greater than 13 milliamps? c) what is the probability that the value of a current measurement is between 9 and 11 milliamperes?
- A cellular call is made to your cell phone at random within a ten-minute interval. You werebusy on a call for 2 minutes into this ten-minute period. There is a probability that the callarrived when you were not busy on your cell. Identify the random variable and define thedistribution of the random variable?6??2. A specially designed car tire has an average life of 38,500 miles with a standard deviation of 2,500 ms is approximately normally distributed. (a) Let X = number of miles of a single tire. Find the probability that in the sample above the mean will be less than 38,000 miles. (Use 4 decimals) rox< 38000) =nomacr (IEa, 3,0o, 38,500, 2,50).5442 PCX bobnpt.ou vnio (b) Use the software tool below (or any other) to graph and shade the probability from part (a). Do not graph manually. The graph should show the appropriate area from part (a). Tool link: https://mathcracker.com/normal-probability-calculator-sampling-distributions (c) The tire manufacturer wants to set the tire warranty to 39,100 miles. Is this a good decision? What are the possible consequences to the manufacturer? Explain in detail.
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