Probability and Statistical Inference (9th Edition)
9th Edition
ISBN: 9780321923271
Author: Robert V. Hogg, Elliot Tanis, Dale Zimmerman
Publisher: PEARSON
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f E and F are disjoint events, P(E and F) =
Find the cdf of a random variable Y whose pdf is given by;
2, 0≤x≤1
1/3, 0≤x≤1
a) f(x)=3, 2≤x≤4
0, elsewhere
2, 1≤x≤2
b) f(x)=
(3-x)2, 2≤x≤3
0, elsewhere
There are m users who share a computer system. Each user alternates between "thinking" intervals whose durations are
independent exponentially distributed with parameter Y, and an "active" mode that starts by submitting a service re-
quest. The server can only serve one request at a time, and will serve a request completely before serving other requests.
The service times of different requests are independent exponentially distributed random variables with parameter μ,
and also independent of the thinking times of the users. Construct a Markov chain model and derive the steady-state
distribution of the number of pending requests, including the one presently served, if any.
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- Problem 3 Ten measurements of an impurity concentration in a process stream have been recorded. The sample mean is 87ppm and the sample standard deviation is ±13 ppm. Consider the null hypothesis that the impurity concentration has a true mean μo. Part A: Desired Probability that the sample mean will satisfy the null hypothesis: P = 0.4 Part B: Using the chart below, determine the4 highest value of the true mean that will lead to the null hypothesis being accepted with the probability assigned in Part A 1.00 0.90 0.80 0.70 0.60 0.50 0.40 Probability of accepting Ho 0.30 0.20 0.10 1 ° 0 30 40 50 75 100 10 0.2 0.4 0.6 0.8 1.0 1.2 =2.5 1.4 1.6 1.8 2.0 2.2 2.4 2.6 d 2.8 3.0 3.2arrow_forwardProblem 2 A chemical reactor system has been designed to perform optimally when operated at 150°C. The hypothesis test that will be used for evaluating the operating temperature will rely on 10 successive temperature measurements and will assign a 95% confidence interval for the result. The reactor system is judged to have a standard deviation of ±3°C. Part A: Actual operating temperature of the process T[°C] = 152.90 Part B: What is the probability that the hypothesis test for operating at 150°C described above will give a false acceptance (i.e., a type II error)?arrow_forwardProblem 1 An airport is served with an average of 10 departures per day to your desired destination. However, all these flights leave at random times. You are trying to decide how long you are willing to wait to catch the next flight after you arrive at airport. Part A: Acceptable waiting time: T [min] = 78min Part B: What is the probability there will be exactly one departure during this waiting time? Part C: What is the probability there will be exactly no departure during this waiting time? Part D: Which calculation (B or C) should you use to make your decision to wait or leave? Why?arrow_forward
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