Answer Happy

The average life span in Ontario in 2009 was 81.3 years. A random sample of 17 obituaries from newspapers in Ontario showed x = 82.5 and 5 = 2.6. If lifespan is assumed to be normally distributed, does this sample provide sufficient evidence to support that the average lifespan in Ontario has increased at the 1% significance level. A. What are the null and alternative hypotheses? (Type 'mu' for the symbol , 'xbar" for the symbol, 'p" for the symbol p, or "phat' for the symbol , e.g. mu > 0.5 for the mean is greater than 0.5, xbar < 0.5 for the sample mean less than 0.5, p not = 0.5 for the proportion is not equal to 0.5, phat = 0.5 for the sample proportion is equal to 0.5. Percentages should be provided as values between 0 and 1. Please do not include units.) H, H B. What is the test statistic value? (Include as many decimals as possible.) Test statistic C. What is the associated p-value? (Include as many decimals as possible.) p-value = D. Statistical decision: O A. There is evidence to support the alternative hypothesis at the 1% significance level and we would therefore reject the null hypothesis. OB. There is evidence to support the alternative hypothesis at the 1% significance level and we would therefore accept the null hypothesis. OC. There is not enough evidence to support the alternative hypothesis at the 1% significance level and we would therefore reject the alerative hypothesis. OD. There is not enough evidence to support the alternative hypothesis at the 1% significance level and we would therefore fail to reject the null hypothesis. E. There is not enough evidence to support the alternative hypothesis at the 5% significance level and we would therefore fail to reject the null hypothesis.