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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.

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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

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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.

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