TESTING FOR STATIONARITY IN TIME SERIES ANALYSIS

ABSTRACT

This study is aimed at testing stationarity in real-time series data. The data was collected from Health Centre, University of Benin for a period of five years (2017-2021). The Sample Autocorrelation Function (SACF) technique was used on the data collected. The result of the findings in this work shows that there is the presence of stationarity in the time series data that was analyzed.