The hypotheses are: 1. Broadsheet newspapers have longer words than tabloids.2. Broadsheet newspapers have longer sentences than tabloids.3. Tabloids have more pictures than Broadsheets.

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Investigate the hypothesis: - People who read Broadsheet newspaper are more intelligent than people who read tabloids.

I am going to break down this initial hypothesis is 3 separate hypotheses which makes it easier to measure the statistics.

The hypotheses are:

. Broadsheet newspapers have longer words than tabloids.

2. Broadsheet newspapers have longer sentences than tabloids.

3. Tabloids have more pictures than Broadsheets.

Plan

For this coursework I have been ask to compare the 2 types of newspaper: Broadsheet and tabloid. I will compare the results of my study to see if people who read broadsheets are more intelligent than people who read tabloids. I will measure it using 3 separate hypothesise.

In hypothesis 1, I will collect the data by counting the number of letters in each word. I will do this for 100 words in both a tabloid and Broadsheet newspapers using an article that has the same subject in both papers. I will record the results in a tally chart.

For hypothesis 2 the data will be collected by counting the number of words in a sentence. This will be repeated for 100 words in both types of newspapers and an article will be chosen that has the same subject. They will be recorded on a tally chart.

For hypothesis 3 the data will be collected by measuring the area of all the pictures on one page, dividing it by the total area of the page and multiplying it by 100. Therefore finding the percentage of the page covered by pictures.

This method will be repeated every 3 pages until I have 20 results. They will be recorded in a tally chart.

Also I will use random sampling by choosing pages at random. This will help keep the study unbiased and also more reliable.

In hypothesis 1, I will use the first 100 words because 100 are good number to work with in graphs and charts. I also will choose to use the same subject in both newspapers to make the test fairer and more reliable. If I chose a political article and compared it to a sport article it wouldn't be fair. I will also choose to leave out words that appeared in quotation marks because they aren't what the writer is writing but are what someone else says. Also the quote may be the same in both newspapers. For testing this hypothesis, I won't just choose an article out 1 newspaper for each; I'll choose 4 Broadsheets and 4 tabloids, taking 25 words from each newspaper which overall will make the whole test fairer and more valid.

In hypothesis 2, I will do many of the things I did in hypothesis 1 and I'll do them for many of the same reasons. I will choose to use 100 words to make analysis simpler and I also choose an article that had the same subject to make it fair. Also sentences in quotation marks will not be included and 4

tabloids and 4 Broadsheets will be used for stratified sampling.

For hypothesis 3, I will choose to use every third page because this gives an overall view of the newspaper by looking at all the different sections: sport, business, Editorials. This makes the study fairer and more reliable and will hopefully give me a better result.

For hypothesis 1 I will analyse the data by entering the data into frequency tables. I will do this because it will allow me to work out the mean number of letters in each word and also to work out the standard deviation. To work out the median and inter-quartile range I will use cumulative step polygon graphs.

I will also use frequency graphs to investigate the spread and peaks. To visually compare my results I will put the data onto frequency bar charts.

In hypothesis 2 I will enter the data into grouped frequency tables. This is because this is continuous data. The reason for using this method instead of frequency tables is that the number of word will be a higher number than the number of letters, therefore making analysing easier. I will use grouped frequency tables to work out the mean and the standard deviation. To work out the inter-quartile range and the median I will use cumulative frequency graphs.
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For hypothesis 3 the data will be analysed in grouped frequency tables. The table would be used to find the mean, the standard deviation. To find the median I will simply look at the middle values of the 10th and 11th. To work out the lower and upper quartile I will look at the value between 5th and 6th, and the 15th and 16th.

For all the hypothesise the median, lower and upper quartile will be entered into box plots.

The results will then be analysed to see whether they prove or disprove the hypothesises.
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