There are many ways of comparing the birth rates of countries compared to other countries, and one way may be to look at the life expectancies of the countries.
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Introduction
Statistics Coursework 2
Aim
There are many ways of comparing the birth rates of countries compared to other countries, and one way may be to look at the life expectancies of the countries. I believe that there is will be a correlation between the two variables: Average birth rate of a country per 1,000 and Life expectancy of a country. I think that the higher the life expectancy, the lower the birth rate, and vice versa. If there is a correlation, then it will be a negative one, and it also means that by looking at the life expectancy of a country, you may be able to estimate the birth rate of that country.
Data Collection
I found my data for both, life expectancy and birth rate of 196 countries, from a website, www.globastat.com. The data for each was collected from the same year, 2001, and so is fairly up-to-date reliable, and accurate. My ‘population’ is of countries in the world. There were a total of 196 countries for both life expectancy and birth rate, and the same countries were found in both lists, therefore making my selection a little easier. I needed to choose a sample from the total, and I chose to use 60 countries for their data.
Middle
Gabon
27.42
Greece
78.59
Greece
9.83
Grenada
64.52
Grenada
23.12
Guyana
63.31
Guyana
17.92
Haiti
49.38
Haiti
31.68
Indonesia
68.27
Indonesia
22.26
Iraq
66.95
Iraq
34.64
Italy
79.14
Italy
9.05
Japan
80.8
Japan
10.04
Lesotho
48.84
Lesotho
31.24
Liechtenstein
78.95
Liechtenstein
11.53
Malaysia
71.11
Malaysia
24.75
Mali
47.02
Mali
48.79
Mauritania
51.14
Mauritania
42.95
Mauritius
71.25
Mauritius
16.5
Mongolia
64.26
Mongolia
21.8
Morocco
69.43
Morocco
24.16
Nauru
61.2
Nauru
27.22
New Zealand
77.99
New Zealand
14.28
Nicaragua
69.05
Nicaragua
27.64
Norway
78.79
Norway
12.6
Philippines
67.8
Philippines
27.37
Puerto Rico
75.76
Puerto Rico
15.26
Qatar
72.62
Qatar
15.91
Romania
70.16
Romania
10.8
Saint Kitts And Nevis
71.01
Conclusion
My data and results may be accurate, but they are not representing every single country. The results are only true for the countries, which are specified above, i.e. fairly common and well known. This is because for smaller countries, the information is hard to obtain and so was not found by the makers of the website. I found 196 countries’ data, which would have taken a very long time to interpret and show graphically; therefore I took a completely random and non-biased sample of 60 countries from it, which was a more manageable size. From these 60 countries, I was able to show their results graphically, draw a line of best-fit showing a rough and general trend, and calculate a correlation coefficient.
Anomalies are likely to occur because data does not indicate the environment and for example, political stability of a country; I assume that conditions are equal for each of the countries. But this is false, because many countries have been struck by natural disasters, for example, which influence birth rates and life expectancy. A lot of poorer countries undergo starvation, leading to famine, which also affects the birth rate and life expectancy of countries. Migration may also have an affect: many healthy people may come into a country and boost the life expectancy, or many women may leave a country, therefore reducing the birth rate of a particular country.
This student written piece of work is one of many that can be found in our AS and A Level Probability & Statistics section.
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