Question

the chart (partially visible) has rows like
umber of posts created\, \average number of words per post\, etc., for two websites. text: \charlotte wants to know which website has more user engagement per a single writer. 1) charlotte thought of two different ways to define this quantity. identify these two definitions among the following options. choose 2 answers: a average number of likes per writer, b total number of comments, c average number of words per writer, d average number of comments per writer. 2) determine which website has more user engagement per a single writer according to the two definitions. did you get the same result for both definitions? choose 1 answer: options about website a, b, or opposite results.\

Explanation:

1)

To determine user engagement per writer, we need metrics related to engagement (likes, comments) divided by number of writers. Option A (Average number of likes per writer) and Option D (Average number of comments per writer) are relevant as they involve engagement metrics per writer. Option B is total comments (not per writer) and Option C is about words (not engagement).

Step1: Analyze "Average number of likes per writer"

Assume Website A has \( L_A \) likes, \( W_A \) writers; Website B has \( L_B \) likes, \( W_B \) writers. From table (assuming values, e.g., if Website A: likes=?, writers=?; Website B: likes=?, writers=?). But generally, if we calculate for both definitions (likes per writer and comments per writer), the results can differ. For example, if Website A has more likes per writer but Website B has more comments per writer, the definitions give opposite results.

Step2: Analyze "Average number of comments per writer"

Similarly, calculate comments per writer for both. The two definitions (likes per writer and comments per writer) can lead to different conclusions about which website has more engagement.

Answer:

A. Average number of likes per writer, D. Average number of comments per writer

2)