In a radioactive decay experiment, the uncertainty in a number of measured counts, N, is given by VN. (This is a classic example of Poisson statistics). In an experiment to determine the level of background radiation in the laboratory, a student (Student A) measures the number of background counts after 15 successive 30- second periods as Total Elapsed Time Total No. of (s) 30 Total Elapsed Time Total No. of (s) 270 Counts 422 Counts 39 469 530 60 83 300 90 138 330 120 191 360 580 150 259 390 623 180 210 295 420 650 327 450 687 240 373

In a radioactive decay experiment, the uncertainty in a number of measured counts, N, is given by VN. (This is a classic example of Poisson statistics). In an experiment to determine the level of background radiation in the laboratory, a student (Student A) measures the number of background counts after 15 successive 30- second periods as Total Elapsed Time Total No. of (s) 30 Total Elapsed Time Total No. of (s) 270 Counts 422 Counts 39 469 530 60 83 300 90 138 330 120 191 360 580 150 259 390 623 180 210 295 420 650 327 450 687 240 373

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

In a clinical trial for an insomnia treatment, a group of 22 subjects had a mean "wake time" of 94.3 minutes after receiving the treatment and a standard deviation of 23.1 minutes. a) construct a 95% confidence level for the mean. b) if the subjects had a "wake time" of 100 minutes before this treatment, does it seem like this treatment is effective? Explain. c) suppose the group had a standard deviation of 40.2 minutes for the "wake time". Construct a 90% confidence interval for the standard deviation.
assume that a prior surgery suggests about 33%
Suppose that the time to failure (in hours) of fans in a personal computer can be modeled by an exponential distribution with 1 = 0.0003. What proportion of the fans will last at most 10,000 hours? What proportion of the fans will last at least 7000 hours? a. 0.0498, 0.1225 O b.0.9502, 0.1225 O c. 0.0498, 0.8775 O d. NONE
The time to finish a race in minutes is lognormally distributed. The mean of the log (base 10) transformed time is 2.38 and the standard deviation is 0.4. a. What is the time by which 80% of the runners will finish the race? b. What percent of runners will finish the race between 60 and 100 minutes?
Suppose that the time to failure (in hours) of fans in a personal computer can be modeled by an exponential distribution with A = 0.0003. • What proportion of the fans will last at most 10,000 hours? • What proportion of the fans will last at least 7000 hours? a. 0.0498, 0.8775 Ob. NONE Oc 0.0498, 0.1225 Od.0.0502, 0.1225
The number of days between precipitation events during the fall season is modeled by an exponential distribution with mean 9.7. Compute the probability that the next inter-arrival time for precipitation events is more than 7 days. Use three decimal place accuracy.
As a data analyst, I received requests at a rate of 1 every 25 minutes, exponentially distributed. Determine the probability that the interval between succeedingmessages is more than 1 hour
Cardiovascular Disease Suppose the incidence rate of myocardial infarction (MI) was 5 per 1000 among 45- to 54-year-old men in 2000. To look at changes in incidence over time, 5000 men in this age group were followed for 1 year starting in 2010. Fifteen new cases of MI were found. Suppose that 25% of patients with Mi in 2000 died within 24 hours. This propartion is called the 24-hour case-fatality rate. Of the 15 new MI cases in the preceding study. 5 died within 24 hours. Test whether the 24-hour case- fatality rate changed from 2000 to 2010.
The working life time, in years, of a particular model of electric oven is exponentially distributed with mean of 8. Find the 22th percentile of the working lifetime, in years.
The average lifetime of a certain new cell phone is 5 years. The manufacturer will replace any cell phone failing within 3 years of the date of purchase. The lifetime of these cell phones is known to follow an exponential distribution.What is the median lifetime of these phones (in years)? (Round your answer to four decimal places.)