Assignment: Mortality rates and poverty

Assignment: Mortality rates and poverty

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This research question is intended to establish the existence of any relationship between the mortality rates within a population and the poverty level of that population. The variables in these case will be poverty and death rate which will be measured using the ordinal level scale because it will be giving the degree to which these variables affect each other. The variables, in this case, will be having some continuous characteristics because they rise and fall at some level.

Describe why this question is appropriate for the selected statistical test.

Solution

Chi-square test is used in this question to determine the relationship between poverty levels and mortality rates. It tests whether the cause of mortality rate is poverty or its just by chance.

Identify the variables in this study and each of their attributes: discrete or continuous, quantitative or categorical, the scale of measurement (nominal, ordinal, interval, or ratio), and independent or dependent.

Solution

Our variables here are;

Mortality rate which is a dependent ratio variable

Level of poverty which can be (High, medium, low), is a categorical independent variable

Explain how the variables do or do not fit the qualifications for the selected statistical test

Solution

Mortality rates can be taken as “high” or “low” to make it suitable for using the chi-square test. Using it as a continuous variable will make it unsuitable for the test. Poverty levels (high, medium and low), perfectly suits Chi-test statistics.

Provide a written explanation for the null and alternative hypotheses.

Solution

The null hypothesis indicated with H0, states that there no relationship between mortality rates and poverty. Alternative hypothesis H1, indicates there is a significant relationship between the number of people dying and their poverty levels.

This can be written as;

H0: β1 = β2 = 0

H1: β1 ≠ β2 ≠ 0

Describe the types of errors that could occur.

Solution

Type I error and type II error can occur on the testing hypothesis. Type I error occurs when a true null hypothesis is rejected. Type II error occurs when one fails to reject a false null hypothesis.

In this case, concluding that poverty causes death while it is not the cause of death, is type II error while concluding that they don’t relate while they do actually, is type I error.————————————————————————————-THE DISCUSSION WAS:

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