The 15 observations in the spreadsheet represent a sample of the repair times, in hours, of a complex piece of machinery. a. Find the maximum likelihood estimates of the two parameters assuming that these data are normally distributed. b. Using the parameters in part a, use the basic Pearson goodness-of-fit test to determine if a normal distribution is indeed a good fit assuming 95% confidence. c. What's the probability that repair time of this piece of machinery exceeds 75 hours?
The 15 observations in the spreadsheet represent a sample of the repair times, in hours, of a complex piece of machinery. a. Find the maximum likelihood estimates of the two parameters assuming that these data are normally distributed. b. Using the parameters in part a, use the basic Pearson goodness-of-fit test to determine if a normal distribution is indeed a good fit assuming 95% confidence. c. What's the probability that repair time of this piece of machinery exceeds 75 hours?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Step 1: Given information
VIEWStep 2: Find maximum likelihood estimated
VIEWStep 3: Determine hypotheses, calculate expected frequency, and test statistic
VIEWStep 4: Calculate level of significance degrees of freedom and p-value
VIEWStep 5: Determine decision
VIEWStep 6: Calculate probability
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