It's proposed that the average life expectancy these days is 81.6, but recent data suggests it might bedifferent from that.A sample size of 89 countries found a sample mean life expectancy of 79.2 years with a standard deviationof 18.6 years.You want to formulate and test a hypothesis that can be used to challenge the validity of the claim at asignificance level of 0.01.With hypotheses Ho: µ = 81.6 vs H1: µ # 81.6, what is/are the critical value(s)? (Report answeraccurate to 2 decimal places.)What is the test statistic for this sample?What is the p-value for this sample?Our decision is toreject the nullaccept the nullfail to reject the nullAs such, the final conclusion is thatthere is sufficient evidence to conclude that the population mean life expectancy is equal to 81.6.there is not sufficient evidence to conclude that the population mean life expectancy is equal to81.6.there is sufficient evidence to conclude that the population mean life expectancy is not equal to81.6.there is not sufficient evidence to conclude that the population mean life expectancy is not equal to81.6.

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Answered: -posed that the average life expectancy…

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 manufacturer of a particular brand of tires claims they average less than 50,000 miles before needing to be replaced. From past studies of this tire, it is known that the population standard deviation is 8,000 miles. A survey of tire owners was conducted. From the 29 tires surveyed, the mean lifespan was 47000 miles. Using alpha = 0.05, can we prove that the data in inconsistent with the manufacturers claim? a. Determine the p-value (round to 4 decimal places). Sketch the graph, shade the region corresponding to p-value and label the test statistic. b. Is there sufficient evidence at the 5% significance level to support the principal’s claim? The correct conclusion would be: 1. There is enough evidence to conclude that the tires do not last fewer miles than claimed 2. There is enough evidence to conclude that the tires last fewer miles than claimed 3. There is not enough evidence to conclude that the tires do not last fewer miles than claimed 4. There is not enough evidence to…
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