Question

	Country Algeria Argentina Australia Austria Belgium Brazil Burkina Faso Canada China Colombia Denmark Ecuador Ethiopia Finland France Germany Ghana Greece Guatemala Iceland India Ireland Israel Italy Japan Kenya Lebanon Luxembourg Malta Mexico Myanmar Netherlands New Zealand Nicaragua Norway Peru Portugal Spain Sweden Switzerland Tunisia Turkey United Arab Emirates United Kingdom United States Venezuela, RB	Life expectancy 75 76 83 82 81 75 59 82 76 74 81 76 65 81 83 81 62 82 72 83 68 82 82 84 84 62 80 82 82 77 66 82 82 75 82 75 82 83 83 83 75 75 78 82 79 74

In 2016, the World Health Organization estimated that the average life expectancy at birth worldwide was 72 years[1]. (This includes all countries of the world, not just the countries in the sample.)

Complete the steps below to carry out a one-mean hypothesis test to test the claim that the average life expectancy has increased beyond the global average using a 5% significance level.

Let mean = the average life expectancy of a person at birth (globally).

1. State your Null and Alternative Hypothesis symbolically. (You may need to copy and paste symbols.)
2. Verify that the conditions of the one-mean hypothesis test are satisfied.

3. calculate the test statistic and p-value. Round your answer to the nearest thousandth. Insert the results from the hypothesis test from StatCrunch in the space provided.

Test Statistic:

p-value:

4. Determine if you should Reject null hypothesis or fail to reject the null hypothesis. Use the significance level and your p-value to explain how you made your decision.

5. Using sentences, write your conclusion using the context of the problem.

[1] Source: World Health Organization.

Answer 1

1) Hypothesis -

H0 : mu = 72 vs. H1 : mu > 72

2) Test Statistics =5.859

P value = 0

3) Decision - Reject H0 if p value < 0.05

4) Conclusion- Average life expectancy has increased beyond the global average. PL??