Statistical Analysis of Infant Mortality Rate: A Case Study of Taraba State
Publication Date: 06/06/2023
Author(s): Okorie Charity Ebelechukwu, Balansana Kamalu Ibrahim, Bulus Sunday Michael.
Volume/Issue: Volume 6 , Issue 3 (2023)
Abstract:
Reduction of infant mortality has been one of the key issues for both government and individuals. The purpose of this study is to predict and determine the infant mortality rate in the future. To achieve our aim, we used Linear Regression model and student t-test to analyze our data. Data were collected from Specialist Hospital, Jalingo, Taraba State and the analysis was done based on the stated methods in the stated models. The results showed that in 2019, the mortality will be 45 per 1000 and birth will be 124 per 1000; in 2025, the mortality will be 65 per 1000 and birth will be 191 per 1000; in 2030, the mortality will be 90 per 1000 and birth will be 272 per 1000; in 2035, the mortality will be 110 per 1000 and birth will be 340 per 1000. This shows that as the birth is increasing, death is also increasing. From Figure 2, we discovered that mortality is on the increase from year to year. The t-test indicated that there is a linear relationship between infant mortality and birth from 2018–2037, which shows us that t calculated (0.143) < t tabulated (2.021), thereby giving us room not to reject our H0.
Keywords:
Infant Mortality, Linear Regression, Fertility, Birth Rate.
