The average life span in Ontario in 2009 was 81.3 years. A random sample of 17 obituaries from newspapers in Ontario sho

Business, Finance, Economics, Accounting, Operations Management, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Algebra, Precalculus, Statistics and Probabilty, Advanced Math, Physics, Chemistry, Biology, Nursing, Psychology, Certifications, Tests, Prep, and more.
Post Reply
answerhappygod
Site Admin
Posts: 899603
Joined: Mon Aug 02, 2021 8:13 am

The average life span in Ontario in 2009 was 81.3 years. A random sample of 17 obituaries from newspapers in Ontario sho

Post by answerhappygod »

The Average Life Span In Ontario In 2009 Was 81 3 Years A Random Sample Of 17 Obituaries From Newspapers In Ontario Sho 1
The Average Life Span In Ontario In 2009 Was 81 3 Years A Random Sample Of 17 Obituaries From Newspapers In Ontario Sho 1 (75.36 KiB) Viewed 143 times
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.
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!
Post Reply