8.1 Analysing how people post tweets (6 marks: 0.5+0.5+2+1+1+1) You want to analyse how followers post their tweets. The Public Figure is wondering whether their follower's behaviour is different from the other Twitter users. This would help them to decide the content of their posts. To examine this, we want to test if there is a relationship between the source of tweets and who posted them. To perform this: Use rtweet package to download tweets. 1. Download 1000 tweets about the person you selected (ignore retweets and download the tweets that are posted in the English language). Save as "tweets". 2. Download 1000 random tweets that contain the word "the" (ignore retweets and download the tweets that are posted in the English language). Save it as "random" 3. We would like to analyse the source of the tweets posted in the tweets and in the random tweets. Create a 2 by n table that contains the number of tweets posted from each source for the tweets and the random tweets. Print your table, it should look similar to the table below. Source Source Source 2 tweets random tweets 4. Test whether there is a relationship between the source of the tweets and the tweet group (tweets vs random )? Is there a relationship between the source of the tweets and the tweet group? Justify your result. 5. Obtain a bootstrap distribution of the proportion of the tweets posted from "Twitter for iPhone" using the table you obtained above. Draw the histogram of the distribution. 6. Compute a 95% confidence interval of the proportion of the tweets posted from "Twitter for iPhone" from the bootstrap distribution you created in question 5