The table gives sales data for a stationery store in any given two weeks. It lists the probability of the number of items purcha
sed 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.
Number of items | Probability of being purchased | Average amount spent -------------------------------------------------------------------------------------------------- 2 | 0.35 | $12 3 <span>| 0.17 | $20 </span> 4 <span>| 0.33 | $28 </span> 5 or more <span>| 0.15 | $36 </span> In a sample space of 100 items being purchased, in a day:
For 2 items: 35 (12) = 420 For 3 items: 17<span> (20) = 340 </span>For 4 items: <span>33 (28) = 924 </span>For 5 or more items: 15<span> (36) = 540 </span> 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.
To answer this question you should begin with the coin that has a higher value. If you start with the dime and then just add the correct number of pennies to total $0.40, you will see that you will need 3 dimes ($0.30) and 10 pennies ($0.10).
I used a guess and check strategy starting with 2 dimes.