You are given a background paragraph that describes one or more causal or qualitative relationships such as a relationship in economics or a scientific law and a story that makes use of the concepts or the relationship described in the provided paragraph. You need to come up with a question about the story that requires an understanding of the relationship described in the background paragraph. The generated question should not be answerable without both the background and story. Write a question about the story that requires a relationship in the background paragraph to answer. Check whether your question requires both the background paragraph and the story to answer. If your question can be answered by only one of these, try to rewrite your question so that it requires both. Note that "flipping" a word in the question can give rise to a new question where the answer will be different from the original question. Often, "flipping" a word gives rise to flipping the direction of the relationship, for example, from "increase" to "decrease."

Background Paragraph: To determine the concentration of an acid in an aqueous solution, an acid-base titration is commonly performed. A strong base solution with a known concentration, usually NaOH or KOH, is added to neutralize the acid solution according to the color change of the indicator with the amount of base added.[7] The titration curve of an acid titrated by a base has two axes, with the base volume on the x-axis and the solution's pH value on the y-axis. The pH of the solution always goes up as the base is added to the solution. 
Story: A chemist was trying to make a new solution to better get rid of stains on the carpet. Solution A stayed the same. Solution B had 1 ounce of base added. Solution C had 2 ounces of base added. Solution D had 3 ounces of base added. Solution E stayed the same. Solution D was proven as the best solution to get rid of carpet stains.
Which solution had it's pH level go up: Solution A or Solution B?

Background Paragraph: This individual monetary gain creates an increase in the overall economic productivity of a country. Girls are underrepresented in schooling, meaning that investments aimed specifically at educating women should produce bigger dividends.[9] Although investment in women's education is not present everywhere, David Dollar and Roberta Gatti have presented findings that show that this decision, along with other failures to invest in women are not “an efficient economic choice for developing countries” and that "countries that under-invest grow more slowly.”[3] Looking holistically at the opportunity cost of not investing in girls, the total missed GDP growth is between 1.2% and 1.5%.[10] When looking at different regions, it is estimated that 0.4–0.9% of the difference in GDP growth is accounted for solely by differences in the gender gap in education.[1] The effect of the educational gender gap is more pronounced when a country is only moderately poor.[3] Thus the incentive to invest in women goes up as a country moves out of extreme poverty.[3]. 
Story: Ethiopia and Sudan are two neighboring countries where 
extreme poverty can be seen. Still Ethiopia has pushed for women's education in the last decade. Sudan has largely failed in investing on women's education. Elsewhere in Africa, the country of Botswana has just overcome extreme poverty, thanks to vast mineral deposits. But they invested on women's education.
Which country would be subject to bigger effect of the education gender gap, Ethiopia or Botswana?

Background Paragraph: Storing large volumes of data – When storing XML to either file or database, the volume of data a system produces can often exceed reasonable limits, with a number of detriments: the access times go up as more data is read, CPU load goes up as XML data takes more power to process, and storage costs go up. By storing XML data in Fast Infoset format, data volume may be reduced by as much as 80 percent. 
Story: Earl had a busy day storing XML. At 3 PM, he stored 11000 Gigabytes to the database. At 4 PM, he stored 22000 Gigabytes to the database. At 5 PM, he stored 33000 Gigabytes to the database. At 6 PM, he got dinner. At 7 PM, he stored 44000 Gigabytes to the database. At 8 PM, he stored 55000 Gigabytes to the database. At 9 PM, he went to sleep to finish storing XML tomorrow morning.

What time did the access times go up: 3 PM or 6 PM?