The mean life of a tire is 30 000 km
SpletThe mean life of a tire is 30 000 km. The standard deviation is 2000 km. a. About 68% of all tires will have a life between km and km. b. What percent of the tires will have a life that … SpletQuestion: 1. The mean life of a tire is 30,000 km. The standard deviation is 2000 km. a) 68% of all tires will have a life between km and km. b) 95% of all tires will have a life between …
The mean life of a tire is 30 000 km
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SpletThe mean life of a tire is 30 000 km. The standard deviation is 2000 km. a) 68% of all tires will have a life between b) 95% of all tires will have a life between _km and km. c) What … SpletDevelop a 90% confidence interval for the mean useful life of all car tires. One hundred car tires are tested and the mean useful life comes out to 50,000 miles with a sample standard deviation of 5,000 miles. Develop a 95% confidence interval for …
SpletThe mean life of a tire is 30,000 km. The standard deviation is 2000 km. Then, 68% of all tires will have a life between km and km. Question. Gauthmathier4486. Grade . 9 · YES! We solved the question! Check the full answer on App Gauthmath. Get the Gauthmath App. Good Question (143) Gauth Tutor Solution. SpletThe mean life of a tire is 30,000 km. The standard deviation is 2000 km. Then, 68% of all tires will have a life between ___________ km and __________ km. answer choices 28,000 …
SpletCreated Date: 4/26/2024 4:37:50 PM SpletThe mean life of a tire is 30 000 km. The standard deviation is 2000 km. a) 68% of all tires will have a life between _____km and _____km. b) 95% of all tires will have a life between _____km and _____km. c) What percent of the tires will have a life that exceeds 26000 km? d) If a company purchased 2000 tires, how many tires would you expect to ...
SpletAnswer: 68% The mean life of a tire is 30,000 km. The standard deviation is 2000 km. 68% of all tires will have a life between 28,000 km and 32,000 km. What is the formula pleasee I need it PLEase pa help po nito.. please A normal distribution of scores has a standard deviation of 10 and a mean of 50.
Splet04. jun. 2024 · A tire manufacturer claims that its tires have - Gauthmath. 17. A tire manufacturer claims that its tires have a mean life of 40,000kms. A random sample of 46 of these tires is tested and the sample mean is38,000 km. Assume that the populations standard deviation is 2,000 km and the lives of tires are approximately normally distributed. bonnot julesSplet29. maj 2024 · The mean life of a tire is 30,000 km. The standard deviation is 2000 km. 95% of all tires will have a life between___ km and ___km. See answers Advertisement Abu99 … bonny keilSpletThe mean life of a tire is 30 000 km. The standard deviation is 2000 km. a. About 68% of all tires will have a life between km and km. b. What percent of the tires will have a life that exceeds 26 000 km? c. If a company purchased 2000 tires, how many tires would you expect to last more than 28 000 km? Transcribed Image Text: Table 4.3. bonny johnnySplet05. mar. 2024 · Best answer Given: μ= 15000 kms, nj = 15, X̄ = 18000, s = 4000, α = 1% H0 : Average life of tyres is 15000 kms (i.e. H0 : μ = 15000) H1 : Average life of tyres is more than 15000 kms (H1 : μ >15000) {Right/upper tail test) The t-test statistic is ( Here n < 30 use t -test for mean) bonny kinneySplet01. apr. 2024 · On average, people drive between 12,000 to 15,000 miles a year, which means the average good quality all-season tire will last somewhere between three and five years, depending on maintenance, driving style and conditions, etc. The National Highway Traffic Safety Association (NHTSA) states a driver is three times more likely to be … bonny joanneSpletQuestion 903015: The mean lifetime of a certain tire is 30,000 miles and the standard deviation is 2,500 miles. a.) If we assume nothing about the shape of the distribution, approximately what percentage of all such tires will last between 22,500 and 37,500 miles? Answer by ewatrrr(24785) (Show Source): bonnutSpletExpert Answer mean = 30000 standard deviation = 2000 a) by 68 95 99.7 rule 68% confindenc interval is (mean-sd, mean+sd) 68% confindence interval is (30000-2000,30000+2000) i.e (28000, 32000) 68% of all tires will have a life between 28000 … View the full answer Previous question Next question bonny johan