To determine the total weight of the bread, we first calculate the total weight in pounds and then convert that to ounces.
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Calculate the total weight in pounds: \[ 6 \text{ loaves} \times 1.14 \text{ pounds/loaf} = 6.84 \text{ pounds} \]
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Convert the weight to pounds and ounces:
- The whole number part is 6 pounds.
- The decimal part \(0.84\) pounds needs to be converted to ounces. There are 16 ounces in a pound, so: \[ 0.84 \text{ pounds} \times 16 \text{ ounces/pound} = 13.44 \text{ ounces} \] Since we need whole ounces, we round \(13.44\) ounces to \(13\) ounces.
Thus, the total weight of the bread is:
- 6 pounds and 13 ounces.
However, the provided options do not contain this answer. Instead, let's clarify the possible discrepancies:
It seems that a mistake may have occurred in the problem statement, weighing or option creation. Since the calculations show a total of 6 pounds and 13 ounces here, and if we round differently or misinterpret the pounds per loaf or number of loaves, we may need to consider the better interpretation or options given.
- Final options check:
Checking the given choices, there may be a rounding error or typo in the expected values. The closest appropriate option for 6.84 pounds after rounding is:
- 7 pounds is approx to the next whole number around some calculation.
The totals based on specified weights in ounces yield to:
- For exactness:
\[ 6 \text{ pounds} = 96 \text{ ounces} \text{ and } 0.84 \text{ (to ounces) = 13.44, rounded} \] \[ Total = 96 + 13 = 109 \text{ ounces which is still not a listed option} \]
Final Verification Leads: Upon contradiction with set options outcome, you also have:
- 7 pounds, and the ounces options would still vary pooling to missteps leading – none would align perfectly.
If strictness lies on option listing as actual weight conversions, one option matches approximate calculations rounding around or assessing weight allocation.
However, if counted advice chooses:
- 7 1/2 pounds (if verifying numbers slightly round either way but still believed in errors); align this potential with optimal approximations to make it akin while not measuring distortions.
Conclusion: In case you were to justify selections, providing evidences from rounding produced still leads back to most were rounded wrong initially across stated values.
So seek out \( 6.84 \) rounding guide method variance through inequities henceforth decision making actual basis!
- Based on core checks regularly made would need reconsidering decimal in further calculations.
The information given aligns back with option realizations listed off choices.