According to the historical data, the life expectancy in Argentina is equal to the life expectancy in Bolivia. A new study has been made to see whether this has changed. Records of 220 individuals from Argentina who died recently are selected at random. The 220 individuals lived an average of 74.8 years with a standard deviation of 4.2 years. Records of 280 individuals from Bolivia who died recently are selected at random and independently. The 280 individuals lived an average of 75.4 years with a standard deviation of 4.0 years. Assume that the population standard deviation of the life expectancy can be estimated by the sample standard deviations, since the samples that are used to compute them are quite large. At the 0.05 level of significance, is there enough evidence to support the claim that the life expectancy, μ1 , in Argentina is not equal to the life expectancy, μ2 , in Bolivia anymore? Perform a two-tailed test. The null hypothesis: H0: The alternative hypothesis: H1: The type of test statistic: (Choose one)ZtChi squareF The value of the test statistic:(Round to at least three decimal places.) The p-value:(Round to at least three decimal places.) Can we support the claim that the life expectancy in Argentina is not equal to the life expectancy in Bolivia? Yes No

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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According to the historical data, the life expectancy in Argentina is equal to the life expectancy in Bolivia. A new study has been made to see whether this has changed. Records of

220

individuals from Argentina who died recently are selected at random. The

220

individuals lived an average of

74.8

years with a standard deviation of

4.2

years. Records of

280

individuals from Bolivia who died recently are selected at random and independently. The

280

individuals lived an average of

75.4

years with a standard deviation of

4.0

years. Assume that the population standard deviation of the life expectancy can be estimated by the sample standard deviations, since the samples that are used to compute them are quite large. At the

0.05

level of significance, is there enough evidence to support the claim that the life expectancy,

μ1

, in Argentina is not equal to the life expectancy,

μ2

, in Bolivia anymore? Perform a two-tailed test.


The null hypothesis:	H0:
The alternative hypothesis:	H1:
The type of test statistic:	(Choose one)ZtChi squareF

The value of the test statistic: (Round to at least three decimal places.)
The p-value: (Round to at least three decimal places.)
Can we support the claim that the life expectancy in Argentina is not equal to the life expectancy in Bolivia?	Yes	No

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