Complete the steps below to carry out a two-mean hypothesis test to test the claim that average infant mortality rate (per 1000 births) for the countries spending less than the global average ($1,059) on healthcare per person is higher than the average infant mortality for countries spending more than the global average on healthcare per person. Use a 5% significance level. You may assume that the conditions of the hypothesis test are met on this problem.

Let 1 = the average infant mortality rate for countries spending less than $1059 per person on healthcare.

Let 2 = the average infant mortality rate for countries spending at least $1059 per person on healthcare.

1. State your Null and Alternative Hypothesis symbolically. (You may need to copy and paste symbols.)

Ho:

H1:

1. To carry out a two-mean hypothesis test, you will first need to use StatCrunch to find the mean infant mortality rate, standard deviation and sample size for countries that spend more/less than the global average. Follow the StatCrunch steps below, then insert your answers into the table. Round your answer to the nearest thousandth.

StatCrunch Directions:

1. From the Stat menu, select Summary Stats, then Columns.
2. Under Columns: Choose Infant deaths / 1000
3. Under Group by: Choose Bin(health $ per capital) - use the same bins from Task 6
4. Under Statistics: Choose n, mean, and std. dev.

Infant Mortality

(Deaths / 1000 births)

Summary Statistics

Countries Spending

Below $1059 on healthcare per person

Countries Spending

At least $1059 on healthcare per person

N

21

8

Mean

22.1

3.66

Standard Deviation

15.1

1.27

1. Use StatCrunch and the summary statistics above to calculate the test statistic and p-value for a two-mean hypothesis test. Round your answer to the nearest thousandth. Insert the results from the hypothesis test from StatCrunch in the space provided.

Test Statistic:

p-value:

1. Determine if you should Reject Ho or Fail to Reject Ho. Use the significance level and your p-value to explain how you made your decision.

Decision:

Explanation:

1. Using sentences, conclusion using the context of the problem.

Conclusion: