Health Canada wishes to estimate the mean amount of mercury , in parts per million (ppm), in commerical fish. Specifically, they want to estimate the value of μ to within 0.03,and be 95% confident in their results.0.4 ppm.Assume that the amount of mercury in commerical fish varies from one fish to another, the standard deviation being σ =How many commerical fish should be randomly chosen, each chosen will have the mercury content measured, to satisfy Health Canadas estimation of u? (When values from adistribution, use three decimals.)

We have given the data of Health Canada wishes to estimate the mean amount of mercury µ in ppm, in…

Answered: Health Canada wishes to estimate the…

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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the mean weight of a group of boys is 145 lb, with a standard deviation of 5lb. if the weights are normally distributed, what percent of the boys from the group weigh between 142 lb and 152lb?
The weights of tablets are normally distributed with mean 254 mg and standard deviation 4 mg. If exactly 1% of tablets are ‘overweight’, then what weight makes the tablet ‘overweight’?
Assume that adults have IQ scores that are normally distributed with a mean of 100.7 and a standard deviation 18.9. Find the first quartile, which is the IQ score separating the bottom 25% from the top to 75%
Health Canada wishes to estimate the mean amount of mercury μ, in parts per million (ppm), in commerical fish. Specifically, they want to estimate the value of μ to within 0.02, and be 99% confident in their results. Assume that the amount of mercury in commerical fish varies from one fish to another, the standard deviation being σ = 0.3 ppm. How many commerical fish should be randomly chosen, each chosen will have the mercury content measured, to satisfy Health Canadas estimation of μ? (When values from a distribution, use three decimals.) n=
To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.7 feet. The mean braking distance for Make B is 45 feet. Assume the population standard deviation is 4.4 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) rari rz (b) Find the critical value(s) and identify the rejection region(s). The critical value(s) is/are (Round to three decimal places as needed. Use a comma to separate answers as needed.)
Measurements of zinc levels in a flowing river are normally distributed with a standard deviation of 0.5 ppm (due to measurement variation) and a mean 6.1 ppm. What value of zinc concentration from a river would place it in the top 66%?
The average labor charge for automobile mechanics is OMR 69 per hour. The standard deviation is OMR 18. Find the minimum percentage of data values that will fall within the range of OMR 68 to OMR 80. Use Chebyshev's theorem. SHOW ALL THE WORKINGS, FORMULA etc.
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Blood pressure is distributed Normally, with a mean of 85 mm and a standard deviation of 20 mm. What fraction of the population has a blood pressure above 80 mm?
Ms. Gonzalez has recorded the test scores for each of her 25 students, She has calculated EX? = 320 and (EX) = 5,000, Calculate the estimated population standard deviation for her data. 1.98 2.24 O 5.00 O 3.95
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A doctor in the oncology department of a hospital surveyed the breathing rate of cancer patients. The mean and standard deviation of breathing rates for a group of patients are 12 and 2.3 breaths per minute, respectively.Find the proportion of the patients having breathing rates from 7.4 to16.6 breaths per minute.

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