ABSRACT The Kenyan CPI data for the period January 2000 to December 2017, obtained from the KNBS website, was the variable of interest, modelled as a time series variable. R was the package used for analysis. Descriptive statistics such as the mean, median, ACF, PACF, time series plots, histograms, lagged scatter plots and qqplots were employed to assess the non-stationarity of CPI after which appropriate smoothing techniques such as differencing were made use of to detrend the data. Formally...
Cornelius Kiplimo Tanui is a practising statistician at AMREC Limited, Kisumu, Kenya. He develops data collection tools in EPI Info, SurveyCTO, and ODK. He uses R, Stata, and Python for stat