A large advertising firm in Kenya seeks to find out if the advertisements made in the local newspapers lead to enquiries about the products advertised. It is thought that the day of the week the advertisements are made and the section of the newspaper the advertisement is placed determines the number of enquiries made on the product. This prompts the need for a study that analyzes the relationship between advertisement placement on newspaper sections and the number of inquiries received about products.The study assesses data collected from a large shopping mall for a varying number of weeks on Mondays,Wednesdays and Fridays. The data obtained is then analyzed using Analysis of Variance(ANOVA) technique with the aid of the functions contained in the R-CAR package on Type II and Type III sum of squares . The output is used to establish the differences in the means of treatments(sections of the newspapers) while controlling the extraneous source of variability in the treatment means (the day of the week) in addition to determining the statistical as well as practical significance of the differences brought about by the day of the week and the section of the newspaper . This paper comes up with recommendations that will help in determining the best combination of section of the newspaper and day of week that will yield optimum results(highest number of enquiries on the product).This paper concludes that a treatment factor combination of Business section and Mondays yield the most desired results by the advertisement firm.