The two critical values at the 001 level of significancecan


Life expectancy in Mexico is equal to the life expectancy in Spain. A new study has been made to see whether this has changed. Records of 240 individuals from Mexico who died recently are selected at random. The 240 individuals lived an average of 71.2 years with a standard deviation of 3.2 years. Records of 295 individuals from Spain who died recently are selected at random and independently. The 295 individuals lived an average of 71.8 years with a standard deviation of 3.1 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 0.01 level of significance, is there enough evidence to support the claim that the life expectancy, μ1, in Mexico is not equal to the life expectancy, μ2, in Spain anymore? A two-tailed test. What are the null hypothesis:H0: The alternative hypothesis:H1:The type of test statistic: Z t Chi square F :The value of the test statistic:The two critical values at the 0.01 level of significance:Can we support the claim that the life expectancy in Mexico is not equal to the life expectancy in Spain?

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