The cost of textbooks You have a dataset of 368 students and the money they report having spent on textbooks one semester. Normally, we would use these 368 students as our sample, and make inferences about the larger population of students. For our purposes today, though, you will consider the 368 students to be the population, and take samples of 10 to infer the mean of the 368. (Pretend that you dont know the book data and must contact 10 randomly selected individuals and ask how much they spent.) To take a random sample, you first need to generate random numbers to decide which students to "ask." Select data sheet: Randsamp Copy the book data into StatCrunch. Generate a random sample of size 10: Select data then sample and books as the column and a sample of size 10. When you click compute StatCrunch will create a new variable which contains the 10 values that were randomly selected. Now, you are ready to compare means, Compute the sample mean by selecting summary stats under stat, selecting columns, and choosing sample(books) from Select column(s):. Copy the resulting summary statistics to cell D4 of the original spreadsheet. 1) a) What value of the mean do you get (1dp)? b) What symbol do we use to describe the value that you just computed? Now compute population mean: by selecting summary stats under stat, selecting columns, and choosing books from Select column(s). Copy the resulting summary statistics to cell D9 of the original spreadsheet. 2) a) What value do you get (1dp)? b) What symbol would we use for this value (assuming it was based on a population)? 3) Did the first mean equal the second one? 4) speculate about mean of the ten randomly selected numbers. Did any of them get the mean of the population as their sample mean? Why or why not? Would any of them get the mean of the population? Why or why not?