Do more than 50% of the population of both European Union countries and G-20 countries live past the age of 60? In answering the research question, µ = life expectancy in European Union and G-20 Countries. The verbal null hypothesis is stated as: more than 50% of the population of European Union and G-20 countries live to the age of 60. The numerical null hypothesis is stated as: µ ≥ 50%. The verbal alternate hypothesis is stated as: less than 50% of the population of European Union and G-20 countries live to the age of 60. The numerical alternate hypothesis is stated as: µ ≤ 50%. Team C will utilize the five-step hypothesis test on the CIA Global Demographics Data Set to accept or reject the null hypothesis as explained below.
Five-Step Hypothesis Test
Step 1

Step one of the five step hypothesis is to state the research problem in question form. In this case, I will define what will be tested and identify what variable will be used in the data collection. My hypothesis is:
Do more than 50% of the population of both European Union countries and G-20 countries live past the age of 60?
Step 2

During step two of the process, both the null and alternate hypotheses are recognized in both verbal and numerical form. The null hypothesis is that greater than 50% of the European Union and G-20 countries live past the age of 60.. This creates an alternative hypothesis that less than 50% of the European Union and G-20 countries die before the age of 60..

H0: µ = > .50

H1: µ NE > .50

alpha = .05

Step 3

The third step of hypothesis testing is to calculate a statistic analogous to the parameter indicated by the null hypothesis. Due to the sample size of 62 countries, the Z-test will be utilized to calculate the test statistic. The x bar is equal to the sample mean of 6.55 and the standard error of x bar is 1.83.

Z= x bar - µ