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  • Level: GCSE
  • Subject: Maths
  • Word count: 2235

I believe that the number of letters per word will be greater, on average, in a broadsheet newspaper than in a tabloid newspaper.

Extracts from this document...

Introduction

Maths Coursework-statistics Hypothesis one I believe that the number of letters per word will be greater, on average, in a broadsheet newspaper than in a tabloid newspaper. Hypothesis two I also believe that the number of words per sentence will also, on average be greater in a broadsheet newspaper than in a tabloid newspaper. The reasons for these assumptions are due to the association of intelligence with broadsheet newspapers, and a certain lack of intelligence with tabloids. The general belief is that broadsheet newspapers such as 'The Times' are aimed at the higher earning. More intelligent reader and so, you would expect a higher quality of English used, therefore longer words and sentences. Tabloid newspapers are supposedly aimed at the lower earning, less intelligent reader and so the quality of English used wouldn't be as good as that found in a broadsheet, so the length of words and sentences one would assume would be smaller. Plan To test my hypotheses I would need to record the length of words and sentences form both a broadsheet and a tabloid newspaper. I decided that I would find an article on the same issue, in the belief that this would make the results fairer as the writers would be using the same topic of discussion, so the differences between both articles would be more apparent. ...read more.

Middle

Length of words-Frequency graph As this is a frequency graph, I cannot take the results form the sentence length and make these into the same form, as they are not frequencies. And, as the results for sentence were not collected in direct association with the word length, I cannot use a scatter graph to establish any relationship. So I decided to do the following. I decided to sort the data into order; from lowest to highest, then similar to a scatter graph, I would plot points onto a graph. Then also similar to a scatter graph I would draw a line of best fit for these points. This line of best fit now means something different, the steepness of the gradient, show that there isn't a consistency in the results, so the flatter the line, the. As I have rearranged the data, the x-axis now becomes meaningless, so the sentence number isn't really the sentence number it just refers to the first to tenth sentences, in order of size. (Graph can be seen overleaf) Analysis of my results So what do my results show, and how much do they agree with my original hypotheses? Averages (means) The averages form the two sets of results of word lengths, for the times and the daily mail surprised me. ...read more.

Conclusion

To test the significance of my results I could carry out a statistical test, to test the strength of my evidence. The same for the second hypothesis, the results are really not sufficient but from my results I am able to say that they supported by prediction, that there are longer sentences in broadsheet newspapers. And as I had though, there was a significant gap between the broadsheet and the tabloid. As far as it goes, my results are useful enough, at least for my investigation. My data suggests that there are longer words and longer sentences in broadsheet newspapers than in tabloid newspapers. So, for someone who likes to read longer words in longer sentences I would say, "Go read a broadsheet newspaper!" Possible extensions * If I were to test this question further I would take more results, from every broadsheet and tabloid newspaper on sale, and collect results on every day or every other for a month, to ensure of a greater reliability. * I could test the lengths of words and sentences against newspapers and magazines. * I could test length of words in a magazine against the length of words on the Internet. * In future I were to carry out a similar investigation I would collect more data, and try to ensure that my results are significant, so that I could draw a firmer conclusion. ...read more.

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