life expectancy value of different countries

Running head: ECON2330 1
ECON2330
<Name>
<University Name>

ECON2330 2
Econ2330
Topic: Life Expectancy based on the factors such as adult’s mortality, infant deaths, BMI, GDP,
Year and Country.
Introduction
Generally, life expectancy value of different countries globally has been changing with time.
Literatures have shown that there are different factors believed to be resulting to the changes
observed in the life expectancy value thus making different population to live for short period of
time. It is on this basis that the proposed study aimed at identifying the relationship between
number of factors and its impact on life expectancy value. The sampled data collected is for
Canada and china which is obtained from https://www.kaggle.com/kumarajarshi/life-expectancy-
who .
Variables
1. Dependent Variable
 Life Expectancy
2. Independent Variables
 Adults mortality
 Infant deaths
 BMI
 GDP
 Year
 Country
In addition, to identify these factors influencing life expectancy value, a multiple regression
method including General and Estimated are conducted using a statistical package of social
sciences. In addition, the test for significance conducted are the T-Test, F-Test and R-Test. The
following null hypothesis were tested at a significance level of 0.05.
Hypothesis: There is not a statistical significance relationship between country and life
expectancy value. Moreover, overall significance of all the six independent variables on
dependent variables were checked. To note, all the individual significance for each independent
variable was tested through checking the Coefficient of Determination (R-Square).
Results
Overall, the results indicate that the mean life expectancy is 77.98 with a standard deviation of
4.18 while the mean adult mortality is 69.19 with a standard deviation of 30.64. Furthermore, the
results show that the mean infant deaths are 148.44 with a standard deviation of 165.64 whereas
the mean BMI is 38.83 with a standard deviation of 23.04. Finally, the mean GDP is calculated
to be 15864.11 with a standard deviation of 18690.98 as shown in the descriptive results below.
Descriptive Statistics
Mean Std. Deviation N
Life_expectancy 77.9750 4.18284 32
Adult_Mortality 69.1875 30.64199 32
infant_deaths 148.4375 165.64243 32
BMI 38.8344 23.03789 32

ECON2330 3
GDP 15864.1053 18690.98351 32
From the T-test results, the mean life expectancy in Canada; 81.69 and a standard deviation of
2.24 is higher than the mean life expectancy in China; 74.26 and a standard deviation of 1.32.
However, from the Levene’s Test for Equality of Variances, results indicate that there is not a
statistically significant difference in the life expectancy values for the two countries, p-value=
0.203>0.05, t stat= -11.427, df=30. Based on this finding, it is prudent to conclude that country is
not a significant influence of the life expectancy values thus we fail to reject the null hypothesis.
Group Statistics
Country N Mean Std.
Deviation
Std. Error
Mean
Life_expectan
cy
China 16 74.2625 1.31802 .32950
Canada 16 81.6875 2.24020 .56005
Independent Samples Test
Levene's Test
for Equality of
Variances t-test for Equality of Means
F Sig. t df
Sig.
(2-
tailed)
Mean
Differenc
e
Std. Error
Differenc
e
Life_expectanc
y
Equal
variance
s
assumed
1.693 .203 -
11.427
30 .000 -7.42500 .64979
Equal
variance
s not
assumed
-
11.427
24.27
3
.000 -7.42500 .64979