A manufacturer produces cans of soup. To pass inspection and go on to distribution, a can must have 6 ounces of soup, plus or minus 0.5 ounces. If the can doesn't meet this requirement, it fails and is sent back. (a) Let \( x \) represent the amount (in ounces) of soup in a can. Write an absolute value inequality that can be used to find the unacceptable amounts of soup in a can. These are the amounts where the soup can will fail the inspection and get sent back. \( \square \) - \( \square \) \( \leq \) \( \square \) \( \square \) \( + \) \( \square \) \( > \) \( \square \) \( \square \) - \( \square \) \( \square \) \( \square \) \( + \) \( \square \) \( \leq \) \( \square \) (b) Solve the absolute value inequality from part (a). \( \square \) and \( \square \) \( \square \) < \( \square>\square \) \( \square \) or \( \square \) \( \leq \square \) \( \geq \square \)
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The absolute value inequality that can be used to find the unacceptable amounts of soup in a can is: \[ |x - 6| > 0.5 \] This indicates that if the amount of soup \( x \) deviates more than 0.5 ounces from the ideal 6 ounces, the can will fail inspection. That means acceptable values of \( x \) must be within the range of 5.5 to 6.5 ounces. To solve this inequality, we break it into two cases: 1. \( x - 6 > 0.5 \) leads to \( x > 6.5 \) 2. \( x - 6 < -0.5 \) leads to \( x < 5.5 \) Thus, the unacceptable amounts of soup in a can are \( x > 6.5 \) or \( x < 5.5 \). Now, let’s be a bit of a history buff! The concept of absolute value inequalities has roots in mathematics developed over centuries. The absolute value, first formalized in the 19th century, is crucial for describing distances and deviations without concern for direction. It’s essential for real-world applications, like manufacturing, where precision is key in any production line! In real-world scenarios, these inequalities help manufacturers comply with quality standards. Like a papa bear's porridge, a soup can must be "just right"! If too much or too little soup makes it to the shelf, consumers might not be satisfied. This diligence ensures that only the perfectly filled cans are sent out for enjoyment. Always a win-win situation for both the maker and the eater!