Statistical Tests I need WORD and EXCEL sheets

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indicatorbreastfemalemortality1.xlsx
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Data

Breast Female Mortality 2000 2001 2002 Breast Female Mortality
Afghanistan 11.7 11.7
Albania 7.87 6.68 6.54 7.03
Algeria 16.7 16.7
Angola 17.1 17.1
Argentina 20.25 20.2 19.42 19.9566666667
Armenia 22.89 21.2 22.09 22.06
Australia 16.25 16.28 16.43 16.32
Austria 18.88 17.72 17.52 18.04
Azerbaijan 8.61 10.04 10.34 9.6633333333
Bahamas 21.5 21.5
Bahrain 17.7 17.7
Bangladesh 7.3 7.3
Barbados 24.87 23.44 25.5 24.6033333333
Belarus 15.34 14.33 13.72 14.4633333333
Belgium 27.7 27.7
Belize 7.75 10.94 11.9 10.1966666667
Benin 19.8 19.8
Bhutan 9.6 9.6
Bolivia 11.6 11.6
Bosnia and Herzegovina 20.7 20.7
Botswana 25 25
Brazil 10.68 10.75 10.8 10.7433333333
Brunei 9 9
Bulgaria 15.68 14.35 14.36 14.7966666667
Burkina Faso 22.1 22.1
Burundi 14.2 14.2
Cambodia 9.5 9.5
Cameroon 22.1 22.1
Canada 18.16 18.1 17.6 17.9533333333
Cape Verde 19.8 19.8
Central African Rep. 12.1 12.1
Chad 12.1 12.1
Chile 11.85 11.34 11.26 11.4833333333
China 5.5 5.5
Colombia 9.28 9.33 9.305
Comoros 14.2 14.2
Congo, Dem. Rep. 7.4 7.4
Congo, Rep. 14 14
Costa Rica 10.75 11.46 11.58 11.2633333333
Cote d'Ivoire 18.3 18.3
Croatia 18.56 18.44 16.95 17.9833333333
Cuba 13.01 14 13.87 13.6266666667
Cyprus 29.6 29.6
Czech Rep. 18.86 18.7 18.3 18.62
Denmark 25.35 24.82 24.29 24.82
Djibouti 14.2 14.2
Dominican Rep. 5.37 4.76 5.29 5.14
Ecuador 6.12 6.3 5.47 5.9633333333
Egypt 17.3 17.3
El Salvador 3.85 4.08 4.23 4.0533333333
Equatorial Guinea 12.1 12.1
Eritrea 14.2 14.2
Estonia 22.33 19.16 18 19.83
Ethiopia 17.9 17.9
Fiji 14.5 14.5
Finland 15.96 16.03 14.62 15.5366666667
France 18.65 18.34 18.18 18.39
French Polynesia 15.8 15.8
Gabon 13.1 13.1
Gambia 4.6 4.6
Georgia 25.1 25.1
Germany 19.53 18.93 18.92 19.1266666667
Ghana 19.8 19.8
Greece 14.6 15.21 15.52 15.11
Guam 23.6 23.6
Guatemala 4.28 3.1 4.1 3.8266666667
Guinea 10.8 10.8
Guinea-Bissau 19.8 19.8
Guyana 11.9 11.9
Haiti 2 2
Honduras 12.1 12.1
Hong Kong, China 8.38 8.05 8.62 8.35
Hungary 22.87 22.08 21.44 22.13
Iceland 13.06 12.26 16.27 13.8633333333
India 10.4 10.4
Indonesia 11.3 11.3
Iran 7.4 7.4
Iraq 13.9 13.9
Ireland 24.77 23.77 20.4 22.98
Israel 22.97 21.82 21.62 22.1366666667
Italy 17.76 17.44 16.96 17.3866666667
Jamaica 18.3 18.3
Japan 8.1 8.45 8.18 8.2433333333
Jordan 14.6 14.6
Kazakhstan 15.76 14.95 14.99 15.2333333333
Kenya 18.1 18.1
Korea, Dem. Rep. 4.4 4.4
Korea, Rep. 4.15 4.2 4.57 4.3066666667
Kuwait 12.24 13.88 14.31 13.4766666667
Kyrgyzstan 8.76 9.43 9.65 9.28
Laos 4.7 4.7
Latvia 18.04 17.56 18.45 18.0166666667
Lebanon 23.4 23.4
Lesotho 9.9 9.9
Liberia 13.8 13.8
Libya 16.8 16.8
Lithuania 17.65 17.13 17.78 17.52
Luxembourg 21.86 19.19 17.74 19.5966666667
Macedonia, FYR 18.13 15.72 17.87 17.24
Madagascar 14.2 14.2
Malawi 7.4 7.4
Malaysia 13.5 13.5
Mali 13.1 13.1
Malta 31.22 20.58 18.86 23.5533333333
Mauritania 19.8 19.8
Mauritius 10.05 12.85 12.54 11.8133333333
Mexico 8.71 8.65 8.97 8.7766666667
Moldova 14.1 14.58 15.29 14.6566666667
Mongolia 3.5 3.5
Morocco 16 16
Mozambique 2.8 2.8
Myanmar 8.9 8.9
Namibia 18.8 18.8
Nepal 9.6 9.6
Netherlands 23.05 22.61 22.99 22.8833333333
New Zealand 20.88 20.44 19.82 20.38
Nicaragua 5.22 5.4 5.66 5.4266666667
Niger 16.7 16.7
Nigeria 21.9 21.9
Norway 16.84 16.91 15.99 16.58
Oman 5.8 5.8
Pakistan 22 22
Panama 10.15 8.96 8.01 9.04
Papua New Guinea 8 8
Paraguay 13.9 13.9
Peru 14 14
Philippines 27.1 27.1
Poland 15.01 14.94 14.91 14.9533333333
Portugal 15.52 16.47 15.46 15.8166666667
Puerto Rico 14.3 14.3
Qatar 14.6 14.6
Romania 16.49 16.42 16.3 16.4033333333
Russia 17.16 16.84 16.98 16.9933333333
Rwanda 6.2 6.2
Samoa 15.8 15.8
Saudi Arabia 10.9 10.9
Senegal 13.3 13.3
Serbia and Montenegro 21.2 21.2
Sierra Leone 19.8 19.8
Singapore 10.74 11.81 11.87 11.4733333333
Slovak Republic 18.38 18.48 16.95 17.9366666667
Slovenia 18.41 19.85 21 19.7533333333
Solomon Islands 13.9 13.9
Somalia 14.2 14.2
South Africa 11.28 12.33 11.49 11.7
Spain 14.36 14.73 14.04 14.3766666667
Sri Lanka 10.3 10.3
Sudan 16.6 16.6
Suriname 10.84 12.9 11.87
Swaziland 8.9 8.9
Sweden 16.48 15.22 14.66 15.4533333333
Switzerland 18.13 17.72 17.32 17.7233333333
Syria 19.9 19.9
Tajikistan 5.45 5.68 5.46 5.53
Tanzania 15.5 15.5
Thailand 3.28 4.13 3.705
Togo 19.8 19.8
Trinidad and Tobago 19.88 16.38 21.39 19.2166666667
Tunisia 14.2 14.2
Turkey 9.7 9.7
Turkmenistan 8.5 8.5
Uganda 13.4 13.4
Ukraine 18.2 17.56 18.04 17.9333333333
United Arab Emirates 10.5 10.5
United Kingdom 21.49 21.18 20.6 21.09
United States 17.42 17.01 16.65 17.0266666667
Uruguay 23.96 21 21.91 22.29
Uzbekistan 8.1 7.62 7.86
Vanuatu 11.1 11.1
Venezuela 11.84 11.45 12 11.7633333333
Vietnam 7.1 7.1
Yemen, Rep. 15.6 15.6
Zambia 10 10
Zimbabwe 14.1 14.1

About

Breast cancer deaths per 100,000 female
Definition and explanations
Indicator name Breast cancer deaths per 100,000 female
Definition of indicator Number of deaths due to breast cancer in 100,000 female residents during the certain year.
Unit of measurement
Data source
Source organization(s) IARC (International Agency for Research on Cancer)
Link to source organization http://www.iarc.fr/
Complete reference IARC Cancer Mondial
Link to complete reference http://www-dep.iarc.fr/
Specific information about this indicator
Uploader Gapminder
Methods of data compilation Mortality data was compiled by Gapminder using data from IARC GLOBOCAN 2002 (estimates for 2002) and WHO-IARC time series data.
IARC GLOBOCAN 2002 data: (downloaded in March 2009)
(1) goto "http://www-dep.iarc.fr/",
(2) click on "GLOBOCAN 2002" on the top bar,
(3) click on "Tables -> By cancer" to the left.
WHO-IARC time series data: (downloaded in March 2009)
(1) goto "http://www-dep.iarc.fr/",
(2) click on "WHO" on the top bar,
(3) click on "Tables -> By cancer" to the left.
Selection criteria for methods of combination:
1. When only IARC GLOBOCAN 2002 data is available, we use the data for 2002.
2. When time series data covers 2002, we use WHO-IARC time series data.
3. When time series data is empty in 2002 but available before and after 2002,
we apply interpolation method to fill it.
4. When time series data stops before 2002, we only use IARC GLOBOCAN 2002 data.
5. If time series data stops very close to 2002 for a high-income country,
we apply extrapolation method for 2002 based on time series data. 
6. If time series data is empty in 2002, but IARC GLOBOCAN 2002 data fits very well into
time series, we combine them directly.

Footnotes

Country Year(s) Footnote

Settings

Indicator-settings in the graph
Source name Based on IARC and WHO data Required! Text that will be shown next to the axis in the graph (preferably the same as in the "Source organization(s)" field in the About-Sheet).
Source link http://spreadsheets.google.com/pub?key=phAwcNAVuyj3wJUwXXDdiGg&gid=1 Link for target, when clicking source name in the graph. Preferably the same as in the "Link to source organization" field in the About-Sheet, but can also be left blank to target the link back to the indicators about-page.
Scale type lin Required! Type "lin" for linear scale or "log" for logarithmic scale. Users will be able to change it in the graph.
http://spreadsheets.google.com/pub?key=phAwcNAVuyj3wJUwXXDdiGg&gid=1

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