According to figure 1, which group is closest in percentage to the percentage of users 18–29 in May 2011 who got location-based information on their smartphones? A) Ages 50+ in Feb 2012 B) Ages 50+ in May 2011 C) Ages 30-49 in Feb 2012 D) Ages 18-29 in Feb 2012

Understanding how to compare percentages is crucial when analyzing data like smartphone usage statistics. When given a set of percentages, the task is to identify how one number relates to another. The exercise provided involves comparing the percentage of a demographic group using a specific feature (location-based information on smartphones) at different points in time.

To compare effectively, we can subtract one percentage from another to see the difference. The goal is always to find the smallest difference, which indicates the closest relation between the percentages in question. For example, if the target percentage is 35% and we compare it to 34% and 40%, the 34% is closer because 35% - 34% = 1% (a smaller difference than 40% - 35% = 5%).

This method becomes essential for tasks involving percentage comparison turning seemingly complex data into a simple arithmetic problem.

Location-based information on smartphones refers to any data or service that utilizes the geographical position of a device. From the context of the exercise, we're looking at how pervasively a particular age group has adopted the use of such location-based services over time.

Location-based services include navigation apps, local business finders, or check-in features on social platforms. Understanding how different demographics engage with these technologies can provide insights into patterns of technology adoption and usage behaviors.

In our society, location-based services have become integrated into everyday life, and analyzing their usage can reveal trends in consumer preferences as well. Thus, location-based information is not only relevant technically but also sociologically, contributing to the broader analysis of digital culture.

Smartphone usage statistics are quantitative data that provide insights into how different groups of people use their mobile devices. These can include metrics such as the percentage of individuals using certain applications, the average time spent on devices, or the demographic breakdown of smartphone owners.

In the context of our SAT data interpretation exercise, these statistics reveal the proportion of users within various age groups using location-based services on their smartphones. Having precise and current smartphone usage statistics is vital for businesses, app developers, marketers, and researchers who seek to understand and cater to the needs of users.

The provided exercise underscores the importance of analyzing smartphone usage statistics to assess digital trends and habits across different demographics, informing strategies for engagement, design, and innovation.