Focus on Infant mortality rate and consider α=0.10.

The Margin of Error for μ 

The previous model was modified:

(the same sample was considered)

What are your conclusions using a 0.10 level of significance ?

Still about this model (and using the same sample)

Income Group was considered as explanatory (as dummy variables):

(the same sample was considered)

What are your conclusions using a 0.10 level of significance ?

This model was considered to investigate if Infant mortality rate (IMR) is GDP per capita (GDP) related:

.

Using the sample described in the beginning of the Exam, the coefficient of correlation was computed and found to be -0.674.

Ho: R²=0 was tested.

The p-value is

Modify the original observed frequency table considering only 3 Regions and 2 Income Groups

What are your conclusions, if you run a Contingency Analysis, using α=0.05 ?

The 3 countries from Middle East & North Africa and the 2 from South Asia were grouped together in the same region (Middle East & North Africa & South Asia) and the Contingency Analysis was run.

The p-value is

The expected number (if Ho is true) of Low Income countries in South Asia is 

Is GDP per capita region related ?

Only 5 regions were considered (the country from Latin America & Caribbean was excluded from the sample) and GDP per capita mean values and confidence intervals were computed and plotted in this graph:

If you run an ANOVA (and the assumptions are met) what is your expectation for the p-value?