In this problem, we explore the effect on the mean, median, and mode of adding the same number to each data value. Consider the data set \[ 4,4,5,8,12 \] (a) Compute the mode, median, and mean. (Enter your answers to one (1) decimal places.) Mean value \( = \) \( \square \) Median \( = \) \( \square \) Mode \( = \) \( \square \) (b) Add 4 to each of the data values. Compute the mode, median, and mean. (Enter your answers to one (1) decimal places.) Mean value \( = \) \( \square \) Median \( = \) \( \square \) Mode \( = \) \( \square \) (c) Compare the results of parts (a) and (b). In general, how do you think the mode, median, and mean are affected when the same constant is added to each data value in a set? Adding the same constant \( c \) to each data value results in the mode, median, and mean remaining the same. There is no distinct pattern when the same constant is added to each data value in a set. Adding the same constant \( c \) to each data value results in the mode, median, and mean decreasing by \( c \) units. Adding the same constant \( c \) to each data value results in the mode, median, and mean increasing by \( c \) units.
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The Deep Dive
Let's crunch those numbers really quick! (a) For the data set \(4, 4, 5, 8, 12\): - **Mean**: (4 + 4 + 5 + 8 + 12) / 5 = 33 / 5 = **6.6** - **Median**: The middle value is **5** (the third value when arranged in order). - **Mode**: The most frequent number is **4** (it appears the most). (b) After adding 4 to each data value, the new data set becomes \(8, 8, 9, 12, 16\): - **Mean**: (8 + 8 + 9 + 12 + 16) / 5 = 53 / 5 = **10.6** - **Median**: Again, the middle value is **9**. - **Mode**: The most frequent number is now **8**. (c) If you add the same constant \(c\) to each data value, the mean, median, and mode all increase by exactly \(c\). So, in this case, since we added 4, each of our statistics from part (a) saw a delightful uplift by 4 in part (b)! Ready for some fun facts? Did you know that the concept of the mean dates back to ancient civilizations? The term itself comes from the Latin "medium," which means "middle." Ancient mathematicians, notably Greeks, were the first to formalize means in their studies! Now, on to practical applications! Understanding how adding or subtracting a constant affects measures of central tendency is vital in fields like statistics, economics, and data science. This knowledge helps when adjusting data sets to analyze trends, make predictions, or even when normalizing data for machine learning models!