Monday, August 12, 2019
Assignment 2 Essay Example | Topics and Well Written Essays - 2500 words - 2
Assignment 2 - Essay Example In UK reading habit is addicted by the great unwashed. If Company advertise their services in the newspapers there can be two benefits first people read more newspaper as compare to listen radio and secondly, if they require to revise or giving consultation for that advertisement can access that easily. Here are some work sample with graphs and histograms to show that Yes! My point of view of advertising in newspapers is more effective than that to listen radio. At first we will show the descriptive statistics, which means explanation of data features in the study. Plane summaries are provided regarding the measures and the sample. With the help of graphic analysis, base for all the qualitative data is provided (William M.K. Trochim, 2006). In the descriptive statistics the news has a maximum number up to 12 thousand, whereas the radio maximum value is up to 11 thousand. The result again emphasizes my analysis that advertisement in newspapers is much more effective than radio. The data taken is about 45 values whose mean value again emphasizes on newspapers. Today the second evidence will be accepted from the boxplot values as we have withdrawn from these above taken values and will demonstrate how the newspaper advertisement is much safer and more effective than listen to the wireless. A technique to summarize the data which is measured on the interval scale is the boxplot. The shape of the distribution is expressed by this type of graph. Most extremes values of the set of data, its variability and central values are presented by the picture (Valerie J. Easton and John H. McColls 1998). If we examine the boxplot graph closely, we can catch the radio box and its upper limit is less than 9000 value, whereas the news box and its upper value are above 9000. Which clearly implies that newspapers upper limit is high that to radio. This again justifies my point and analysis techniques as well. The boxplot and the
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