Once I have highlighted 100 words, I will create a tally chart recording all the values for the word length. Once all the values for the word length are recorded on the tally chart. Once all of the values for the word length are recorded on a tally chart, I will be creating a frequency table comparing the two sets of data... displayed 300 characters
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Once I have compared the two sets of data I am going to calculate the mean, median, range, mode, lower quartile (LQ), upper quartile (UQ) and the interquartile range (IQR) for the results that I have. As a result I will then finally compare the two articles with the aid of box plots.
An article from a tabloid newspaper An article from a broadsheet newspaper
Tally and a frequency table for a tabloid newspaper
Number of letters in a word Tally Frequency fx
1 2 2
2 17 34
3 19 57
4 15 60
5 13 65
6 11 66
7 12 84
8 4 36
9 2 18
10 4 40
11
12
13 1 13
Total = 100
Mean = mode = 3
Cumulative frequency table
Number of letters in a word 1 2 3 4 5 6 7 8 9 10 11 12 13
frequency 2 17 19 15 13 11 12 4 2 4 1
Cumulative frequency 0 17 36 51 64 75 87 91 93 97 100
Range= maximum ? minimum
13 - 1 = 12
Calculating IQR (UQ- LQ) and median from frequency table
Median = 100/2 = 50th value median = 4
LQ = 100/4 = 25th value LQ = 3
UQ = 3 (100/4) = 75th value UQ = 6
Box plots
By looking at the above distributions of the box plots for both of the data that I collected for this hypothesis from the tabloid and broadsheet newspaper, I found out that they were the same... displayed 300 characters
