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Read all About It - The Length of Words in Newspapers and Magazines

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Introduction

Read all About It - The Length of Words in Newspapers and Magazines Introduction In general terms, newspapers and magazines fall into two main broad categories, Quality and popular publications. It creates two kinds of influence: societal influence, which is not for sale, and commercial influence, which is for sale. Magazines and the national press are separated into three markets; quality press, popular press and mid-market newspapers. The consumption of each market is in relation to Social Grade, which is a classification system that separates people according to their career and income; A (upper professional); B (lower professional); C1 (routine clerical); C2 (skilled manual); D (unskilled manual); E (economically inactive). Using this system the broadsheet titles (or quality press) have most of their readers in the A and B categories with hardly any of the others consuming their newspapers. C1, C2, D and E are more consumers of popular press, proving that readership of quality press belongs to upper and middle classes whereas the working class prefer popular press. The consequence of this social division is that both Newspapers and Magazines categories operate very differently in order to maximise profit. The popular press are very much sales orientated and are not interested in who buys their newspapers. ...read more.

Middle

The corresponding "x" value is an estimation of the median. HM Treasury Weekly (X) 100/2 = 50th Reuters Weekly (X) 100/2 = 50th Financial Times Newspaper (X) 100/2 = 50th The Sun Newspaper (X) 100/2 = 50th Modal Value This is the most frequently observed value in a set of data. A set of data can have more than one mode. The mode does not necessarily give much indication of of a data's sets centre. However, it is oftem close to the mean and median, and will be so if the data has a normal or near normal distribution. The mode values for the 4 publications are as follows: HM Treasury Weekly (X) 1, 2, 8, 18 Reuters Weekly (X) 6 Financial Times Newspaper (X) 1, 12 The Sun Newspaper (X) 2, 7, 12 Estimated Mean The estimated mean (average) number of letters per word was found this by dividing the fx column (frequency multiplied by letters per word) by the words sampled. HM Treasury Weekly (X) 490/100 = 4.9 the extreme figures in this set (1-18) Reuters Weekly (X) 477/100 = 4.77 the extreme figures in this set (1-22) Financial Times Newspaper (X) 554/100 = 5.54 the extreme figures in this set (1-15) The Sun Newspaper (X) 472/100 = 4.72 the extreme figures in this set (1-21) ...read more.

Conclusion

The grouped frequency polygon of all 4 publications on the same diagram show show quite similar frequency distribition. I would have preferred to chose my sample by selecting the first 5 paragraphs as well to compare the interquartile ranges more accurately. Additionally, I would have investigated the main headline news story of the 4 publications reported on a particular date - making the story line date specific only rather than date specific and story line specific. As regards the mearsures of dispersion, I would have calculated the standard diviation in addition to the frequency polygon. Conclusion Using the mean calculations, the values, are clearly in line with my predictions. HM Treasury Weekly 4.9, Reuters Weekly 4.77, Financial Times Newspaper 5.54 and the Sun Newspaper clearly at the lowest at 4.72. The results suggest that the quality tabliod press - The Financial Times and the magazines have more letters per word on average than the popular press newspaper - The Sun. To conclude, most of my hypotheses were correct - broadsheets do, on average, use long words. Tabloid newspapers do, generally contain shorter words than broadsheets. Being professional magazines, the HM Treasury Weekly and the Reuters weekly both used technical buzzwords targeted at their marget audience and thus used more word than the Sun newspaper. Edward GCSE Maths 13th December 2004 1 ...read more.

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