Data Handling
Introduction
My task is to take a tabloid newspaper and a broadsheet newspaper, and compare either the number of letters per word, the number of words per sentence or the number of sentences per paragraph. I have decided to compare the number of words per sentence (not including captions) as I feel this will give better results than the other two. To do this I will take 100 sentences, and count the number of words in them. I have chosen to use 100 sentences as I think that this will give accurate readings without going over the top. The two papers I will be comparing are The Daily Mail (tabloid), and Daily Telegraph (broadsheet). I will use articles from the sports section on both
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The Once I have gathered the information needed I will use charts and graphs to compare the results. It is important to note that I will be using group data so it will not be perfectly accurate. I will be using several methods of presentation during the investigation such as cumulative frequency diagrams and scatter graphs. I will also use averages such as mode, median and mean. I will not be changing anything during the investigation apart from the newspaper, as this will make it fair.
My hypothesis is that the broadsheet newspaper (Daily Telegraph) will, on average, have more words per sentence than the tabloid (Daily Mail). I think this because the broadsheets usually contain financial information so more businessmen would read it and therefore it will have longer sentences.
Tabloid (The Daily Mail)
Data
Tally
Cumulative Frequency
0 - 5
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The modal group is 11-15.
The median cannot be found as it is group data but it would be in group 16-20.
The median values would be the 50th and 51st values.
The estimated median value is 18 words per sentence.
The Upper Quartile is 26.
The Lower Quartile is 12.
Inter-Quartile Range = Upper Quartile-Lower Quartile
Inter-Quartile Range = 26-12
Inter-Quartile Range = 14
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Broadsheet (The Daily Express) ==============================
Data
Tally
Cumulative Frequency
0 - 5
1
6 - 10
7
11 - 15
26
16 - 20
46
21 - 25
63
26 - 30
70
31 -
iNZight’s ‘Visual Inferencing Tool’ will be what I use to display using the data. It will present this as a box and whisker graph. I will then analysis the data distribution discussing skews, inter-quartile range, range, shape etc. I will make a first judgement based on what I see being presented. From there I will create a difference between medians bootstrapping confidence interval, this is so I can produce reliable intervals that will potentially provide evidence for my question. iNZight will also be used for all statistics and
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