The consequence of a type I error in this situation is that the owner believes the crop will be more profitable and expands the apple orchard.
A type I error can be defined as a type of error that occurs when the null hypothesis is rejected, even though it's actually true.
This ultimately implies that, a type I error concludes that a given result is statistically significant, whereas, in reality, it was due to luck, chance or other unrelated factors.
In this scenario, the consequence of a type I error in this situation is that the owner believes the crop will be more profitable and expands the apple orchard, when the true mean weight of the apples is actually lesser than 140 grams.
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