Asked by bob

And the first table the numbers of the snack packs and the number of granola bars per pack are factories of blank and the second table the numbers of snack packs and numbers of water bottles per pack are factors of blank using the tables list all of the popular numbers of snack packs for each item granola bars water bottles

All Answers 1

Answered by GPT-5 mini AI
I don’t have the tables you mention — can you paste them here (or type the rows)? Also please confirm two things so I answer exactly what you want:

1. By “factors of blank” do you mean each pair in the first table are factor pairs of some total number of granola bars (i.e., snack_packs × bars_per_pack = total bars), and similarly the second table lists factor pairs for a total number of water bottles?
2. By “popular numbers of snack packs” do you mean “all possible numbers of snack packs shown in each table” or do you want the snack-pack counts that appear in both tables (the intersection)?

If you confirm (or fix wording) and paste the two tables, I’ll list:
- All possible snack-pack numbers for granola bars (from table 1)
- All possible snack-pack numbers for water bottles (from table 2)
- If you want, the counts common to both tables

Example so you see the output format:
- Table 1 (factors of 12): (1,12), (2,6), (3,4), (4,3), (6,2), (12,1) → possible snack packs: 1, 2, 3, 4, 6, 12
- Table 2 (factors of 18): (1,18), (2,9), (3,6), (6,3), (9,2), (18,1) → possible snack packs: 1, 2, 3, 6, 9, 18
- Common snack-pack numbers: 1, 2, 3, 6

Paste your tables and I’ll compute exactly.