Realising Newspaper Sales by Using Statistic Methods

Abstract

Today, some newspapers have started to service online only. One of the reasons of this situation is competitiveness and increasing costs in press market. So newspaper sale planning requires adaptive scheduling and understanding customer behavior well. Estimating the right number of delivery is crucial. It is succeeded with expert knowledge supported with proper analysis and techniques. This study focuses on understanding newspaper sales amount by revealing critical variables and their importance on sales. This is a critical shortcoming especially for newspaper companies, which always try to reduce the number of sell outs and increase the number of return in the delivered newspapers offer companies financial benefits. In this study, it was analyzed that whether different weather conditions (sunny, cloudy or rainy) and days (weekday or weekend) are effective in daily newspaper sales for Ankara, Izmir and Istanbul. One-way Anova, Two-way Anova, t-test, Levene’s, Kolmogorov-Smirnov, and The Kruskal–Wallis tests were used. Sales data was collected from 71 vendors of a national press firm in three cities between 12 September–31 December 2018.