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1. The question asks us to analyze the given graph and match the business days with the exceptions.

2. The first exception is the last business day of a month, which is told to use up an excess amount of paper. In addition, the second exception is the last business day before a company holiday, which is told to use up a smaller than usual amount of paper.

3. There are only two days that go outside the norm of 800 to 900 reams of paper - days 1 and 4.

4. Day 1 uses up about 1100 reams of paper - more than the usual - which means it must be the last business day of a month. Day 2 uses up about 300 reams of paper - less than usual - which means it must be the last business day before a company holiday.

5. Our answer will be: D1 - 1 and D2 - 4.
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Isnt the qs a bit shady? It is given ' significantly increases paper use' which can be only seen from 4 to 5. So Shouldnt it be Day 5 as last working day?
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A certain large company typically uses between 800 and 900 reams of paper per business day (a ream of paper is 500 sheets of paper). There are two exceptions to this pattern of use: on the last business day before a company holiday (a company holiday is not a business day), the company uses significantly less paper because a large number of employees take leave, and on the last business day of a month, monthly reports are produced, which significantly increases paper use. For each of 10 consecutive business days, the graph shows the number of reams of paper used on that day.

From each drop-down menu, select the option that creates the most accurate statement based on the information provided.

1. The day that the graph most strongly suggests was the last business day of a month is Day .

2. The day that the graph most strongly suggests was the last business day before a company holiday is Day .

Attachment:
11.jpg

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Isnt the qs a bit shady? It is given ' significantly increases paper use' which can be only seen from 4 to 5. So Shouldnt it be Day 5 as last working day?

No. The spike happens on the last business day of the month, not the day after. Day 5 shows a rebound from the holiday drop on Day 4, while Day 1 is the only clear spike above the normal 800-900 range.
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