A production manager at a wall clock company wants to test their new wall clocks. The designer claims they have a mean life of 16 years with a variance of 16.If the claim is true, in a sample of 48 wall clocks, what is the probability that the mean clock life would be greater than 15.3 years? Round your answer to four decimalplaces.AnswerHow to enter your answer (opens in new window)Statistical TablesBinomial ProbabilitiesBinomial CumulativePoisson ProbabilitiesPoisson CumulativeStandard Normal Tablet Table ▾Chi SquareE TabloY▼X0123456TablesKeypadKeyboard ShortcutsXBinomial Probabilities (n = 6)Probability of Success or p0.4 0.50.10.2 0.30.6 0.7 0.80.90.5314 0.2621 0.1176 0.0467 0.0156 0.0041 0.0007 0.0001 0.00000.3543 0.3932 0.3025 0.1866 0.0938 0.0369 0.0102 0.0015 0.00010.0984 0.2458 0.3241 0.3110 0.2344 0.1382 0.0595 0.0154 0.00120.0146 0.0819 0.1852 0.2765 0.3125 0.2765 0.1852 0.0819 0.01460.0012 0.0154 0.0595 0.1382 0.2344 0.3110 0.3241 0.24580.09840.0001 0.0015 0.0102 0.0369 0.0938 0.1866 0.3025 0.3932 0.35430.0000 0.0001 0.0007 0.0041 0.0156 0.0467 0.1176 0.2621 0.5314

The question is about central limit theorem.Given :Population mean life of wall clocks ( ) = 16…

Answered: A production manager at a wall clock…

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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Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 143 millimeters, and a variance of 64. If a random sample of 48 steel bolts is selected, what is the probability that the sample mean would differ from the population mean by greater than 0.2 millimeters? Round your answer to four decimal places.
Eighty-three percent of adults in a certain country believe that life on other planets is plausible. You randomly select five adults and ask them whether they believe that life on other planets is plausible. The random variable represents the number of adults who believe that life on other planets is plausible. Find the mean, variance, and standard deviation of the binomial distribution for the random variable. Interpret the results find the mean, variance, and standard deviation
A binomial experiment is given. Decide whether you can use the normal distribution to approximate the binomial distribution. If you can, find the mean and standard deviation. If you cannot, explain why. A survey of adults found that 65% have used a multivitamin in the past 12 months. You randomly select 50 adults and ask them if they have used a multivitamin in the past 12 months.
A production manager at a wall clock company wants to test their new wall clocks. The designer claims they have a mean life of 14 years with a variance of 16. If the claim is true, in a sample of 40 wall clocks, what is the probability that the mean clock life would differ from the population mean by greater than 0.4 years? Round your answer to four decimal places. don't forget to round
Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 132 millimeters, and a variance of 64. If a random sample of 39 steel bolts is selected, what is the probability that the sample mean would be greater than 128.2 millimeters? Round your answer to four decimal places. Answer How to enter your answer (opens in new window) Keypad Keyboard Shortcuts Tables
Please answer the second question. Thank you.
Question-4 72 74 76 78 80 82 84 86 88 Blood-alcohol level (mg per 100 mL-") Figure Histogram of blood-alcohol measurements. The figure shows the probabilities of a single experimental result, with a standard deviation of 2.0, falling within unit ranges about a mean value of 80. Calculate, using the data in figure, the probabilities that a single experimental result will fll within the following ranges (in mg per 100 mL): i) 80-81 ii) 81-83 iii) >80 iv) 78-82 (i.e. 80 ±1 standard deviation) v) 76-84 (i.e. 80 ±2 standard deviations) vi) 74-86 (i.e. 80 ± 3 standard deviations) vii) 72-88 (i.e. 80 14 standard deviations) viii)74 0000'0 0.0002 0.0049 0.0165 0.0441 0.0918 0.1499 0.1915 0.1915 0.1499 0.0918 0.0441 0.0165 0.0049 0.0011 0.0002 0000'0
A production manager at a wall clock company wants to test their new wall clocks. The designer claims they have a mean life of 15 years with a variance of 25. If the claim is true, in a sample of 41 wall clocks, what is the probability that the mean clock life would be less than 15.4 years? Round your answer to four decimal places
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