Mortality Rate of Infants in Bangladesh and Australia

Running head: SLE 251 PROJECT ASSIGNMENT 1
SLE 251 PROJECT ASSIGNMENT
By (Name of Student)
(Institutional Affiliation)
(Date of Submission)

SLE 251 PROJECT ASSIGNMENT 2
INTRODUCTION
Infant mortality rate compares the number of deaths of infants under one year old in a given
year per 1,000 live births in the same year. This rate is often used as an indicator of the level
of health in a country. Research were carried out by a Medicare research group in 1992
concluded that health care system strongly influences the registration of infant deaths.
(Korbin Liu, 1992) The population of interest in this study are the infants/new born babies of
two countries which are Bangladesh and Australia respectively (The World Bank, 2019).
The current research was done to investigate if the mortality rate of infants is still dependent
on the level of health care of a country. The hypothesis of the research was that there is a
difference of mortality rate of infants, higher in low level of health care in a country and
lower in a higher level of heath care in a country.
Hypothesis Testing
To investigate whether mortality rate of infants is still dependent on the level of health care of
a country, it is important to conduct hypothesis testing based on the data obtained from the
survey. Two sample t-test based on the mortality rates of infants per 1000 live births in both
Australia and Bangladesh is performed. The null hypothesis and alternative hypothesis for
this study can be stated and formulated as follows;
Ho: There is no difference of mortality rate of infants, higher in low level of health care in a
country and lower in a higher level of heath care in a country.
H1: There is a difference of mortality rate of infants, higher in low level of health care in a
country and lower in a higher level of heath care in a country.

SLE 251 PROJECT ASSIGNMENT 3
METHOD
Design
Systemically collecting data for mortality can be very hard. The data bank like World Bank
data might not have accurate data as they collect their data through governmental health care
surveys and Non-Governmental Organizations of that particular country. The data does not
imply as to how the death occurred and in what circumstances and also cross check the birth
certificate and death certificate to check if the birth of the infant is one year or less.
Data Analysis
The Statistical Packages for Social Sciences (SPSS Version 25.0) is used to analyze our
quantitative data. This will include the use of group means, frequencies, ANOVA and T-test.
Reliability test as well will be performed on the data to verify the biasness of the data.
RESULTS
The tables below displays the outputs of the findings based on the various analyses and test
performed in SPSS.
Descriptive Analysis
Based on the descriptive analysis, the mean, maximum, minimum, Standard deviation and
variance of the mortality rates of infants per 1000 live births in both the two countries are
given in the tables 1 below. The mean and standard deviation for mortality rates in
Bangladesh (Mean = 45.905, STD= 13.5746) and Australia (50.800, STD = 12.3300)
suggests that India has high mortality rate of infants per 1000 live births than Bangladesh.
Table 1: Descriptive Statistics for the mortality rates of infants per 1000 live births in
Bangladesh and India

SLE 251 PROJECT ASSIGNMENT 4
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation Variance
Mortality rates of infants per 1000
live births(BANGLADESH)
20 26.9 70.4 45.905 13.5746 184.271
Mortality rates of infants per 1000
live births(AUSTRALIA)
20 32.0 71.2 50.800 12.3300 152.029
Valid N (listwise) 20
Figure 1: Histogram
Reliability test
This tests was conduct to assess the consistency of the data. Since the Cronbach's Alpha
Based on Standardized Items (.999) is approximately close to 1. We conclude that our data
was consistent
Case Processing Summary
N %
Cases Valid 20 80.0
Excludeda 5 20.0
Total 25 100.0
a. Listwise deletion based on all variables in the procedure.
Reliability Statistics