Question

Health Data:

The table contains a subset of data reported in 2013 by the World Health Organization. Identify the appropriate test to determine if life expectancy in a country can be significantly predicted from the number of physicians per 10,000 people in that country.

Table: Physicians per 10,000 Population and Life Expectancy

Country	Physicians/10,000 People	Life Expectancy
Bangladesh	3.6	70
Kenya	1.8	60
United States	24.2	79.8
Japan	21.4	86.5
Italy	38.0	84.6

Upload a .doc or .pdf file containing the following information (label each portion as "1," "2," etc):

1) Name of your question ("Health Data")

2) Identify the appropriate hypothesis test needed to test for statistical significance and state WHY you chose that test. (1 point)

3) Run the test and upload your output with the portion used to determine significance circled. (2 points)

4) State in words if the result is statistically significant. (1 point)

5) Make the appropriate graph in SPSS (or another computer program) and include the graph in the same file. (2 points)

6) Summarize and interpret your results in 2-3 sentences (using APA format if appropriate). (2 points)

Answer 1

1) Name of your question ("Health Data")

If life expectancy in a country can be significantly predicted from the number of physicians per 10,000 people in that country.

2) Identify the appropriate hypothesis test needed to test for statistical significance and state WHY you chose that test. (1 point)

The appropriate test is the regression analysis because we have to determine if life expectancy in a country can be significantly predicted from the number of physicians per 10,000 people in that country.

3) Run the test and upload your output with the portion used to determine significance circled. (2 points)

The SPSS output is:

4) State in words if the result is statistically significant. (1 point)

Since the p-value (0.062) is greater than the significance level (0.05), we cannot reject the null hypothesis.

Therefore, we cannot conclude that the result is statistically significant.

5) Make the appropriate graph in SPSS (or another computer program) and include the graph in the same file. (2 points)

6) Summarize and interpret your results in 2-3 sentences (using APA format if appropriate). (2 points)

The p-value from the output is 0.062.

Since the p-value (0.062) is greater than the significance level (0.05), we cannot reject the null hypothesis.

Therefore, we cannot conclude that life expectancy in a country can be significantly predicted from the number of physicians per 10,000 people in that country.