Sales The following table shows the number of Mac computers,...

Sales The following table shows the number of Mac computers, iPods, and iPhones sold by Apple, in millions of units, in $2012,$ as well as the year-over-year changes in 2013 and 2014: $$ \begin{array}{|r|c|c|c|} \hline & \text { Macs } & \text { iPhones } & \text { iPads } \\ \hline 2012 & 17.0 & 135.8 & 65.7 \\ \hline \text { Change in } 2013 & 0.2 & 17.6 & 8.5 \\ \hline \text { Change in } 2014 & 2.4 & 39.2 & -10.8 \\ \hline \end{array} $$

Sales The following table shows the number of Mac computers, iPods, and iPhones sold by Apple, in millions of units, in $2012,$ as well as the year-over-year changes in 2013 and 2014:
$$ \begin{array}{|r|c|c|c|} \hline & \text { Macs } & \text { iPhones } & \text { iPads } \\ \hline 2012 & 17.0 & 135.8 & 65.7 \\ \hline \text { Change in } 2013 & 0.2 & 17.6 & 8.5 \\ \hline \text { Change in } 2014 & 2.4 & 39.2 & -10.8 \\ \hline \end{array} $$

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Key Concepts

Cumulative Change Analysis

Cumulative change analysis refers to combining changes over multiple periods to assess the total increase or decrease over a longer time frame. This concept is crucial for understanding long-term trends and the overall impact of incremental changes over several periods.

Tabular Data Interpretation

This concept involves reading, understanding, and extracting information from a table where data is organized into rows and columns. It includes identifying patterns, discerning relationships between various pieces of data, and using that information to answer questions or solve problems.

Year-over-Year Change

Year-over-year change is a method of comparing the change in a particular value from one year to the next. This concept helps in analyzing trends, understanding growth or decline over time, and making informed comparisons by looking at consecutive time periods.

Absolute Change Calculation

Absolute change calculation involves determining the numerical difference between values over time. It is used to measure how much a quantity has increased or decreased without taking the original values into account, which is essential for evaluating raw performance differences.

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