This histogram was build with the Population density of 45 countries selected at random from the World Bank & United Nations Development Programme database:

If a Normality test is run, to check if this random variable (Population density) is Normally distributed, what is your expectation for the p-value ?

Again regarding this histogram (from Question 6) built with a sample size n=45:

With this sample, would you be able to run a test such that Ho: π≥0.7 vs H1: π<0.7, where π is the proportion of countries (in the World Bank & United Nations Development Programme database) with a Population density above 500 ?

The Margin of Error for Unemployment μ, using a 99% confidence level, 

Focus on Infant mortality rate and use the sample to test Ho: μ≥30 vs H1: μ<30

The Critical Value, with α=0.01, 

This histogram was build with the Population density of 45 countries selected at random from the World Bank & United Nations Development Programme database:

If a Normality test is run, to check if this random variable (Population density) is Normally distributed, what is your expectation for the p-value ?

About Population density, the sample was increased to n=45 and it was used to test Ho: μ=250 vs H1: μ≠250, with α=0.05.

The estimates for the relevant parameters, computed with this new sample, are almost the same: for μ: 210 and for σ: 259.

We

Focus on GDP per capita.

The 99% Confidence Interval Upper Limit for Population density μ