A large advertising firm in Kenya sought to find out if the advertisements made in the local newspapers led to enquiries about the products advertised. It was thought that the day of the week the advertisements are placed and the section of the newspaper the advertisement is placed determines the number of inquiries. This prompted the need for a study that analyzed and assessed the number of inquiries received at a large shopping mall for varying number of weeks on Mondays, Wednesdays and Fridays as well as the sections the products were advertised in. The data obtained was unbalanced and was analysed 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 was 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) and determining the statistical as well as practical significance of the differences due to the day of the week and the section of the newspaper . We then came up with recommendations that will help in determining the best combination of section of the newspaper and day of week that was likely to yield optimum results( highest number of inquiries). Tables and graphs were used to present the data.It was then concluded that a treatment factor combination of Business section and Mondays yield the most desired results by the advertisement firm.