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• Level: GCSE
• Subject: Maths
• Word count: 3212

# Newspaper Comparisons - Space Devoted to Items, Size and Number of Pages, and Readability (Word Count)

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Introduction

Newspaper Comparisons. Aim- To compare three different newspapers by looking at: * The amounts of space devoted to different items * The sizes, number of pages and cost of the different newspapers * The readability in terms of language levels evidenced in different newspapers. I will also find the Average newspaper, in terms of cost, size and content. I have chosen three very different newspapers to compare: * The Herts and Essex Observer, which is a Local newspaper containing news from around Hertfordshire and Essex. It is mostly read by local residents who as well as wishing to read about local happenings also may wish to read the advertisements for housing, recruitment and classified advertisements. There are 120 pages in this newspaper. * The Daily Mail, which is a Tabloid newspaper, containing national news, but mostly from the south east of England. This is the most popular tabloid newspaper on the market and contains news and comment on a variety of current events with a focus on features and leisure. It is considered a popular paper for a thinking person. There are 96 pages in this newspaper. * The Times, which is a Broad sheet newspaper with news from all over the world. It is renowned for its well-written articles and opinions and its readership tends to be members of the professional and business classes. There are 100 pages in this newspaper. Hypotheses: For the first part of my investigation, I predict that: 1. The Observer will have a higher percentage of Advertisements and Property information than the other newspapers, as it is a local newspaper and there is less news to comment on in the local areas 2. The Daily Mail will be the newspaper that has percentages closest to the average, in terms of space devoted to different items, as it is a middle classed newspaper. 3. The Times will have a higher percentage of News and Business, as it is readership is mostly the professional and business classes. ...read more.

Middle

12 3 687 13 3 690 Total 690 words in article I am going to use Cumulative frequency curves and box plots to display this data, as they show you clearly the median, lower quartile, upper quartile and interquartile range of the data. See next page for diagrams. I am also going to work out the standard deviation of the data I have collected, as it is a good way of measuring the spread, as it takes into consideration all of the data. A large measure of spread will show a higher language level, because every sentence needs small words such as "a", "it", "and", "the" and "I" to make sense, and a large measure of spread would show that there are words with a lot of letters as well. A small measure of spread would show that the word length is not varied that much, but it may mean that either the words were all mostly short, mostly long, or somewhere in-between. So I will have to look at the frequency of word length shown in the tables I did earlier to back up my conclusions. The formula for working out standard deviation is: But I am going to use a table to work out my answers, as it will take less time, but it is still has the same principle. The Observer: Letters (L) Frequency (F) L� F?L F?L� 1 14 1 14 14 2 57 4 114 228 3 85 9 255 765 4 57 16 228 912 5 40 25 200 1000 6 27 36 162 972 7 23 49 161 1127 8 22 64 176 1408 9 13 81 117 1053 10 14 100 140 1400 11 2 121 22 242 12 1 144 12 144 Totals 355 1601 9265 The Daily Mail: L F L� F?L F?L� 1 5 1 5 5 2 44 4 88 176 3 36 9 108 324 4 32 16 128 512 5 30 25 150 750 6 17 36 102 612 7 ...read more.

Conclusion

The only way I think I could have analysed the articles more accurately is if I had taken a sample of words form the articles, and conducted a survey to see whether people found the words easy or difficult to understand. There is the same problem with analysing words per sentence, but I don't know of any other way I could have tackled this part of the investigation. Using standard deviation to measure the spread of the word length, I think was the best way of tackling that part of the investigation, as it took into consideration all of the data I had collected, and it made it easier for me to analyse the language levels. I had worked out that a large measure of spread would show a higher language level, and that a small measure of spread would show that the word length is not varied that much, but it may mean that either the words were all mostly short, mostly long, or somewhere in-between. By working out the standard deviation I was able to work out the following information: * The Observer had the smallest measure of spread and the lowest mean for letters per word, which shows us that it has the lowest language level out of all of the newspapers, this corresponds with the hypothesis I made about measure of spread for the Observer. * The Daily Mail has the highest mean and the largest measure of spread for letters per word, showing that it has the highest language level out of all the newspapers which proves the hypothesis I made, about the Times having the highest language level in terms of word length, wrong. * The Times' standard deviation values are in-between those of the Observer and The Daily Mail. which proves the hypothesis i made wrong. The hypotheses i made for this part of the investigation were on the right track, only my hypotheses for the Daily Mail and The Times turned out to be the opposite way round to how i had expected. ?? ?? ?? ?? ...read more.

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