a) The experimental units are people who use that popular Web site for engaged couples, since those are the individuals from which we want some information (engagement ring price and level of appreciation). b) The variables measured were Engagement ring price and Level of appreciation The first variable (engagement ring price) is a quantitative variable, sinceit is a numerical measurement (in dollars). The second variable (level of appreciation) is qualitative, since it takes on values which are category names (integers ranging from 1 to7). Don't be tempted to think that this is a quantitative variable simply because it's values are numbers - the numbers are merely symbols (or codes) for categories ranging from "not at all appreciated" to "appreciated to a great extent". c) The population of interest consist of all people who use that popular Web site for engaged couples, since that's the collection of all individuals from which some information (engagement ring price and level of appreciation) is wanted. d) Yes, this sample is most likely representative. The sample included 33 people who usually visit that Web site. The participants were recruited based on their names (the researchers for those with "average" names). There is no reason that people with "average" names would differ, in any way, from the entire population, since name is not a characteristic that would determine someone's behaviour or tendencies. e) If available, you can use statistical sofware R to generate this random assignment (that's what we used, and we present the code below). Other optionsinclude Exel, Minitab or some websites. First we label each of the 50 participants in our random sample with numbers (integers) from 1 to 50. Then it,s sufficient to randomly choose 25 values from our set of 50 numbers (i.e. from our sample of 50 participants) and assingthem to play the role of gift-receiver (for instance). The remaining 25 people would then play the role of gift-giver. The following short piece of code written in statistical software R will perform the above procedure: \(\text{partipants}\leftarrow1:50\quad \#\# \text{random sample of 50 partipants}\\ \#\# \text{chose 25 random values from the above set of 50 values:}\\ \text{gift_givers}\leftarrow\text{sample (participants, 25, replace=F, prob=NULL)}\\ \text{gift_receivers}\leftarrow\text{setdiff(participants, gift_givers)}\)

For instance, we obtained the following result (assignment):

\(\begin{array}{c|c} \text{gift_giver} & \text{gift_receiver} \\ \hline 2 & 1 \\ 3 & 4 \\ 7 & 5 \\ 8 & 6 \\ 10 & 9 \\ 12 & 11 \\ 17 & 13 \\ 18 & 14 \\ 22 & 15 \\ 23 & 16 \\ 26 & 19 \\ 27 & 20 \\ 30 & 21 \\ 32 & 24 \\ 34 & 25 \\ 35 & 28 \\ 36 & 29 \\ 37 & 31 \\ 38 & 33 \\ 39 & 40 \\ 41 & 42 \\ 44 & 43 \\ 46 & 45 \\ 47 & 49 \\ 48 & 50\\ \end{array}\)