The table gives sales data for a stationery store in any given two weeks. it lists the probability of the number of items purchased in a single transaction and the average amount spent per transaction. items purchased in a single transaction probability average amount spent 2 0.35 $12 3 0.17 $20 4 0.33 $28 5 or more 0.15 $36 based on the data provided, transactions with items are likely to bring in the most income during the next two-week transaction period.

From the given data:

Number of items | Probability of being purchased | Average amount spent

            2              |                     0.35                      |            $12
            3              |                     0.17                      |            $20
            4              |                     0.33                      |            $28
       5 or more      |                     0.15                      |            $36

In a sample space of 100 items being purchased, in a day:

For 2 items: 35 (12) = 420
For 3 items: 17 (20) = 340
For 4 items: 33 (28) = 924
For 5 or more items: 15 (36) = 540

If this sample trend would go on the for the next two weeks, then the transaction with 4 items would most likely bring in the most income during the said transaction period.

Idon’t know actually is more difficult