The boiling point of 16 samples of a certain brand of hydrogenated vegetable oil used in a fryer was collected, resulting in Xbar=152.1 degrees. Assume that the distribution of melting point is normal with o=3.20. If the boiling point is different than 150 degrees, then either the oil will be too hot and will burn food or it will be too cool and will not properly cook the food. Is the sample mean significantly different from the target of 150 degrees? Use alpha=0.01 Но: H1: Define critical (rejection) region(s): Calculate the appropriate test statistic: What decision do we make? What this decision means in terms of this problem?

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The boiling point of 16 samples of a certain brand of hydrogenated vegetable oil used
in a fryer was collected, resulting in Xbar=152.1 degrees. Assume that the distribution of melting
point is normal with o=3.20. If the boiling point is different than 150 degrees, then either the oil
will be too hot and will burn food or it will be too cool and will not properly cook the food.
Is the sample mean significantly different from the target of 150 degrees? Use alpha=0.01
Но:
H1:
Define critical (rejection) region(s):
Calculate the appropriate test statistic:
What decision do we make?
What this decision means in terms of this problem?
Transcribed Image Text:The boiling point of 16 samples of a certain brand of hydrogenated vegetable oil used in a fryer was collected, resulting in Xbar=152.1 degrees. Assume that the distribution of melting point is normal with o=3.20. If the boiling point is different than 150 degrees, then either the oil will be too hot and will burn food or it will be too cool and will not properly cook the food. Is the sample mean significantly different from the target of 150 degrees? Use alpha=0.01 Но: H1: Define critical (rejection) region(s): Calculate the appropriate test statistic: What decision do we make? What this decision means in terms of this problem?
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