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Time Series Analysis On The Total Number Of Patients Treated For Malaria Fever
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AIM AND OBJECTIVE OF THE STUDY
i. to know whether the yearly spread of malaria is increasing pr decreasing.
ii. To formulate a model that can best explain the relationship between malaria increases over the years
iii. To use the modern to forecast the occurrence of malaria
iv. To plot the graph of the original data i.e occurrence of malaria against year correlogram and moving average.
1.3SOURCES OF DATA COLLECTION
Data used for research are of two main sources: these source are primary and secondary data.
Primary data are fresh data which are collected for the task at hand. An example of such is census registration for cards.
Secondary
data on the other hand are data dreaded in existence. They are
originally collected for some purpose other than research current
problem. They can be collected from school, hospital organization,
government agencies, newspaper, monthly or annual report e.t.c thus a
secondary data is used in this project.
1.4 LIMITATION OF THE STUDY
As
we know that a researcher is bound to face certain problem. various
problem were encountered before during and after data collection
The problem are:-
Poor
storage, which make the transfer of data difficult Data were not
properly recorded and in some cases, we have missing value.
Also data
for some period are missing from the record office: those were
available were poorly recorded this establishing one of the major.
Disadvantage of a secondary data usage data
collection
:- before the data was released to me, I had to present a cover letter
from the HOD and my student identify card and also promised that the
data would be used for statistical purpose only.
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ABSRACT - [ Total Page(s): 1 ]This project work reveled the rate at which people are infected with malaria the least square method used for analysis showed that people are infected with malaria irrespective of the time and seasons of a successive year,There is no noticeable direction as regarding the number of patient treated for malaria over time.Also, the analysis from autoregressive moving average report shows that both autoregressive and moving average of order four were both appropriate while the report from autocorrela ... Continue reading---
