ABSTRACT

 Statistical methods is playing an increasingly important role in nearly all phases of human endeavor. Formerly dealing only with affairs of the state thus accounting for its name. The influence of statistics has now spread to agriculture, biology, business, chemistry, ' ·• communication, economics, education electronics, medicines, physics political science, psychology sociology and numerous other field of science. Time series as a statistical method helps industries whether 8 financial or not to forecast so as to plan for the future. The purpose of this work is to present an introduction and reference to the general statistical principles of drawing inferences hypothesis and predictions which is found useful to all individual regardless of their fields of specialization. This work > elaborates on the effect of savings on individual and bank- Time series. Here, data are arrange according to time period (Monthly) which is the independent variable X, and Y, value of data at various time. Then the regression line ( curve of Y on X) is the trend line used for purpose of estimation, predication and forecasting. Each chapter begins with clear statements of pertinent definitions, theorems and principle. Together with illustratives and other description material. This is followed by graded sets of solved proceedings of the data drawn from deposits in saving account of the Standard Trust Bank Nigeria, Plc Plateau State. The solved problems serves to illustrate and amplify the various theory in the analysis of time series. The early part of each chapter deals with categorized explanation of the analysis of time serles. This lead quite naturally to the measurement of the various components and vii applications which paves way for forecasting of the series (X, = TX S) rather than (X, = TXCXSXI) because the irregular and cyclical components are more difficult to predict than the trend and seasonal components. Techniques of time series which involves the definition of components (ie. factors influencing a time series), measurement of these ' ' compOnent (ie. trend, seasonal influencing cyclical component and the irregular fluctuation in a time series). Also using the trend line for prediction and forecasting of results. These chapters are followed by a chapter on the effects of saving on individual and bank. 8 Finally, the last chapter summarizes the results obtained from computations and also conclusion.