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swer questions 2-5 dealing with the life expectancy of light bulbs whose lifetimes are normally tributed with a mean life of 750 hours and with a standard deviation of 80 hours. Show or explain how u determine the appropriate z-score and related percentage. 2. What percent of light bulbs will last longer than 870 hours? 3. What percent of light bulbs will last between 730 hours and 850 hours? 4. What percent of light bulbs will last less than 770 hours? Invors e Normal Dictribution: If the qual

swer questions 2-5 dealing with the life expectancy of light bulbs whose lifetimes are normally tributed with a mean life of 750 hours and with a standard deviation of 80 hours. Show or explain how u determine the appropriate z-score and related percentage. 2. What percent of light bulbs will last longer than 870 hours? 3. What percent of light bulbs will last between 730 hours and 850 hours? 4. What percent of light bulbs will last less than 770 hours? Invors e Normal Dictribution: If the qual

MATLAB: An Introduction with Applications
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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Complete the calculations below using the formulas and tables or hour calculator. Round all answers to four decimal places. Explanations should be in complete sentences with proper grammar and punctuation. 1. Bob made 116 on his accounting midterm and 82 on his biology midterm. For the accounting midterm, the mean score was 102 with standard deviation 14. For the biology midterm, the mean score was 70 with standard deviation of 5. Which score was the higher with respect to the rest of the class? Explain your answer. Answer questions 2 -5 dealing with the life expectancy of light bulbs whose lifetimes are normally distributed with a mean life of 750 hours and with a standard deviation of 80 hours. Show or explain how you determine the appropriate z-score and related percentage. 2. What percent of light bulbs will last longer than 870 hours? 3. What percent of light bulbs will last between 730 hours and 850 hours? 4. What percent of light bulbs will last less than 770 hours? 5. Inverse Normal Distribution: If the quality control program of the company can consistently eliminate the worst 10% of the bulbs manufactured, the manufacturer can safely offer customers a money-back guarantee on all lights that fail before hours of burning time. (Problems 6- 10) An investigator polls a representative sample of common cold sufferers, asking them to estimate the number of hours of physical discomfort caused by their most recent cold. Their estimates approximate a normal curve with a mean of 83 hours and a standard deviation of 20 hour. 6. What percentage of sufferers estimate that their colds lasted for longer than forty-eight hours? 7. What percentage suffered for fewer than 61 hours? 8. What percentage suffered for between one and three days? es). MacBook Air 000 F4 F5 F7 F8 F9
Transcribed Image Text:Complete the calculations below using the formulas and tables or hour calculator. Round all answers to four decimal places. Explanations should be in complete sentences with proper grammar and punctuation. 1. Bob made 116 on his accounting midterm and 82 on his biology midterm. For the accounting midterm, the mean score was 102 with standard deviation 14. For the biology midterm, the mean score was 70 with standard deviation of 5. Which score was the higher with respect to the rest of the class? Explain your answer. Answer questions 2 -5 dealing with the life expectancy of light bulbs whose lifetimes are normally distributed with a mean life of 750 hours and with a standard deviation of 80 hours. Show or explain how you determine the appropriate z-score and related percentage. 2. What percent of light bulbs will last longer than 870 hours? 3. What percent of light bulbs will last between 730 hours and 850 hours? 4. What percent of light bulbs will last less than 770 hours? 5. Inverse Normal Distribution: If the quality control program of the company can consistently eliminate the worst 10% of the bulbs manufactured, the manufacturer can safely offer customers a money-back guarantee on all lights that fail before hours of burning time. (Problems 6- 10) An investigator polls a representative sample of common cold sufferers, asking them to estimate the number of hours of physical discomfort caused by their most recent cold. Their estimates approximate a normal curve with a mean of 83 hours and a standard deviation of 20 hour. 6. What percentage of sufferers estimate that their colds lasted for longer than forty-eight hours? 7. What percentage suffered for fewer than 61 hours? 8. What percentage suffered for between one and three days? es). MacBook Air 000 F4 F5 F7 F8 F9
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