In this example, we’re looking to understand which option the table provides direct support for. Since the table does not include any information about either the conclusive vs. inconclusive nature of the percent data or any other factors that might come into play, and instead simply expresses the percent data, we can eliminate any option that addresses the idea that the “tulip mania” may not have represented an economic bubble. Additionally, while it is true that, based on the passage, “This phenomenon was so well-known that it has come to be the way many refer to an economic bubble,” we don’t have any direct support for this statement in the table. That said, the fact that the percent change both month-over-month and overall was highest for “tulip mania” as compared to all other economic bubbles supports the idea that “The extent of the change in price certainly merits its status as an economic bubble.”

In this example, we’re looking to understand which option the table provides direct support for. Since the table does not include any information about either the conclusive vs. inconclusive nature of the percent data or any other factors that might come into play, and instead simply expresses the percent data, we can eliminate any option that addresses the idea that the “tulip mania” may not have represented an economic bubble. Additionally, while it is true that, based on the passage, “This phenomenon was so well-known that it has come to be the way many refer to an economic bubble,” we don’t have any direct support for this statement in the table. That said, the fact that the percent change both month-over-month and overall was highest for “tulip mania” as compared to all other economic bubbles supports the idea that “The extent of the change in price certainly merits its status as an economic bubble.”

In this example, we’re looking to understand which option the table provides direct support for. Since the table does not include any information about either the conclusive vs. inconclusive nature of the percent data or any other factors that might come into play, and instead simply expresses the percent data, we can eliminate any option that addresses the idea that the “tulip mania” may not have represented an economic bubble. Additionally, while it is true that, based on the passage, “This phenomenon was so well-known that it has come to be the way many refer to an economic bubble,” we don’t have any direct support for this statement in the table. That said, the fact that the percent change both month-over-month and overall was highest for “tulip mania” as compared to all other economic bubbles supports the idea that “The extent of the change in price certainly merits its status as an economic bubble.”

In this example, we’re looking to understand which option the table provides direct support for. Since the table does not include any information about either the conclusive vs. inconclusive nature of the percent data or any other factors that might come into play, and instead simply expresses the percent data, we can eliminate any option that addresses the idea that the “tulip mania” may not have represented an economic bubble. Additionally, while it is true that, based on the passage, “This phenomenon was so well-known that it has come to be the way many refer to an economic bubble,” we don’t have any direct support for this statement in the table. That said, the fact that the percent change both month-over-month and overall was highest for “tulip mania” as compared to all other economic bubbles supports the idea that “The extent of the change in price certainly merits its status as an economic bubble.”

In this example, we’re looking to understand which option the table provides direct support for. Since the table does not include any information about either the conclusive vs. inconclusive nature of the percent data or any other factors that might come into play, and instead simply expresses the percent data, we can eliminate any option that addresses the idea that the “tulip mania” may not have represented an economic bubble. Additionally, while it is true that, based on the passage, “This phenomenon was so well-known that it has come to be the way many refer to an economic bubble,” we don’t have any direct support for this statement in the table. That said, the fact that the percent change both month-over-month and overall was highest for “tulip mania” as compared to all other economic bubbles supports the idea that “The extent of the change in price certainly merits its status as an economic bubble.”

When looking to draw conclusions from the data presented in a table, we’re looking for the conclusion that must be true based on the given information. Here, the percent change did not increase in each of the years - or, according to the table, in each 5 year period. So, this is not something we can conclude. We also don’t know that the annual rate of growth was greater in 2000 than in 1995. The annualized rate of growth given was higher in 1995 (.31) as compared to 2000 (.21). If we look to do the math, or even just broadly compare the change, we can see that the growth amount was higher for the female population between 1947 and 2000 than it was for the male population. We do, however, know that “The total population of Japan exceeded 100,000 for each of the years displayed in the table.” This may not seem immediately obvious - but keep in mind, the data is displayed in thousands! So, even the smallest total population (that of 1947) was 78,010,000 - well over 100,000!

When looking to draw conclusions from the data presented in a table, we’re looking for the conclusion that must be true based on the given information. Here, the percent change did not increase in each of the years - or, according to the table, in each 5 year period. So, this is not something we can conclude. We also don’t know that the annual rate of growth was greater in 2000 than in 1995. The annualized rate of growth given was higher in 1995 (.31) as compared to 2000 (.21). If we look to do the math, or even just broadly compare the change, we can see that the growth amount was higher for the female population between 1947 and 2000 than it was for the male population. We do, however, know that “The total population of Japan exceeded 100,000 for each of the years displayed in the table.” This may not seem immediately obvious - but keep in mind, the data is displayed in thousands! So, even the smallest total population (that of 1947) was 78,010,000 - well over 100,000!

This table provides us with an abundance of information - far more than we could feasibly be asked about in any one question. So, process of elimination is our friend here. The table is already sorted such that we can easily identify the products with the highest and lowest dollar sales. Here, we cannot conclude that “The product with the lowest dollar sales in 2010 also had the lowest average price,” since Incredible Spray Lemon, our lowest dollar sales for 2010 costs $2.90, but if we scan the column for price, we can see that Deluxe Aerosol Orange comes in at a lower average price of $2.61, as does Dirt Blaster Spray Orange at $2.80. We also cannot conclude that “No product experienced growth in dollar sales but a decline in unit sales from 2009 to 2010.” If we scan the portion of the table where “% change” in dollar sales is positive, we will still find cases where “% change” in units is negative (for instance, Mrs. Grime Spray Unscented). We can also disprove that “The product with the highest dollar sales in 2010 also had the highest average price,” Since Ultra Shine Powder Lemon rings in at $3.99, and several other products have average prices above $4.

We can, however, conclude that “Spray bathroom cleaners generated more dollar sales than any other single type of bathroom cleaner in 2010,” but we’ll need to do a bit of estimation, math, and comparison to get there. Our only job is to try to identify whether any other type could have outsold “spray” cleaners. Of our varieties, Powder cleaners are irrelevant - there are only two such cleaners and the leading cleaner doesn't have enough separation from the field to make it a runaway category. The decision to be made is between Spray and Aerosol, so your mission is to determine which sold more. You can effectively do this by looking to the gap between the two, rather than the total. Spray starts with two higher-sellers than Aerosol, earning approximately $33M and $27M to Aerosol's two biggest totals, $22M and $21M. This gives Spray a $17M "gap" that Aerosol needs to make up, and with the next highest seller also a Spray Cleaner, the gap widens to nearly $18M. From there, you can simply compare one-to-one the remaining Spray and Aerosol cleaners on the Dollar Sales list to see whether the gap will come down to something competitive. It does not - notice that further down the list the dollar figures become so small that they'll make little if any dent in that gap between Spray totals and Aerosol totals. Rather than calculate, you can logically call this one a runaway just by judging the gaps at the top of the list and noting the limited opportunities for Aerosol to close it down.

This table provides us with an abundance of information - far more than we could feasibly be asked about in any one question. So, process of elimination is our friend here. The table is already sorted such that we can easily identify the products with the highest and lowest dollar sales. Here, we cannot conclude that “The product with the lowest dollar sales in 2010 also had the lowest average price,” since Incredible Spray Lemon, our lowest dollar sales for 2010 costs $2.90, but if we scan the column for price, we can see that Deluxe Aerosol Orange comes in at a lower average price of $2.61, as does Dirt Blaster Spray Orange at $2.80. We also cannot conclude that “No product experienced growth in dollar sales but a decline in unit sales from 2009 to 2010.” If we scan the portion of the table where “% change” in dollar sales is positive, we will still find cases where “% change” in units is negative (for instance, Mrs. Grime Spray Unscented). We can also disprove that “The product with the highest dollar sales in 2010 also had the highest average price,” Since Ultra Shine Powder Lemon rings in at $3.99, and several other products have average prices above $4.

We can, however, conclude that “Spray bathroom cleaners generated more dollar sales than any other single type of bathroom cleaner in 2010,” but we’ll need to do a bit of estimation, math, and comparison to get there. Our only job is to try to identify whether any other type could have outsold “spray” cleaners. Of our varieties, Powder cleaners are irrelevant - there are only two such cleaners and the leading cleaner doesn't have enough separation from the field to make it a runaway category. The decision to be made is between Spray and Aerosol, so your mission is to determine which sold more. You can effectively do this by looking to the gap between the two, rather than the total. Spray starts with two higher-sellers than Aerosol, earning approximately $33M and $27M to Aerosol's two biggest totals, $22M and $21M. This gives Spray a $17M "gap" that Aerosol needs to make up, and with the next highest seller also a Spray Cleaner, the gap widens to nearly $18M. From there, you can simply compare one-to-one the remaining Spray and Aerosol cleaners on the Dollar Sales list to see whether the gap will come down to something competitive. It does not - notice that further down the list the dollar figures become so small that they'll make little if any dent in that gap between Spray totals and Aerosol totals. Rather than calculate, you can logically call this one a runaway just by judging the gaps at the top of the list and noting the limited opportunities for Aerosol to close it down.

This table provides us with an abundance of information - far more than we could feasibly be asked about in any one question. So, process of elimination is our friend here. The table is already sorted such that we can easily identify the products with the highest and lowest dollar sales. Here, we cannot conclude that “The product with the lowest dollar sales in 2010 also had the lowest average price,” since Incredible Spray Lemon, our lowest dollar sales for 2010 costs $2.90, but if we scan the column for price, we can see that Deluxe Aerosol Orange comes in at a lower average price of $2.61, as does Dirt Blaster Spray Orange at $2.80. We also cannot conclude that “No product experienced growth in dollar sales but a decline in unit sales from 2009 to 2010.” If we scan the portion of the table where “% change” in dollar sales is positive, we will still find cases where “% change” in units is negative (for instance, Mrs. Grime Spray Unscented). We can also disprove that “The product with the highest dollar sales in 2010 also had the highest average price,” Since Ultra Shine Powder Lemon rings in at $3.99, and several other products have average prices above $4.

We can, however, conclude that “Spray bathroom cleaners generated more dollar sales than any other single type of bathroom cleaner in 2010,” but we’ll need to do a bit of estimation, math, and comparison to get there. Our only job is to try to identify whether any other type could have outsold “spray” cleaners. Of our varieties, Powder cleaners are irrelevant - there are only two such cleaners and the leading cleaner doesn't have enough separation from the field to make it a runaway category. The decision to be made is between Spray and Aerosol, so your mission is to determine which sold more. You can effectively do this by looking to the gap between the two, rather than the total. Spray starts with two higher-sellers than Aerosol, earning approximately $33M and $27M to Aerosol's two biggest totals, $22M and $21M. This gives Spray a $17M "gap" that Aerosol needs to make up, and with the next highest seller also a Spray Cleaner, the gap widens to nearly $18M. From there, you can simply compare one-to-one the remaining Spray and Aerosol cleaners on the Dollar Sales list to see whether the gap will come down to something competitive. It does not - notice that further down the list the dollar figures become so small that they'll make little if any dent in that gap between Spray totals and Aerosol totals. Rather than calculate, you can logically call this one a runaway just by judging the gaps at the top of the list and noting the limited opportunities for Aerosol to close it down.