A commercial bakery's ovens are designed to bake cakes at a temperature of 350.0 °F. The ovens are calibrated so that their temperatures should be normally distributed with a mean of 350.0 °F and a standard deviation of 4.4 °F. During a recent inspection, the bakery's quality control supervisor selected a random sample of 12 ovens and recorded their temperatures. She recorded her summary statistics in the following table.
test of ?=350.0 vs ?≠350.0the assumed standard deviation=4.4significance level of ?=0.05test of μ=350.0 vs μ≠350.0the assumed standard deviation=4.4significance level of α=0.05
Sample size |
Sample mean |
Standard error |
---|---|---|
?n | ?⎯⎯⎯x¯ | SE |
12 | 347.7 °F | 1.27017 °F |
Complete the analysis by calculating the ?-valueP-value and making the decision. Give the ?-valueP-value precise to at least four decimal places.
The supervisor wants her results to be statistically significant at a level of ?=0.05α=0.05. Use the data provided and the ?-valueP-value you calculated to fill in the blanks and complete the sentences that form the supervisor's conclusion.
?=P=
The decision is to
the
hypothesis. There is
evidence
that the ovens'
mean temperature is
°F.
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A commercial bakery's ovens are designed to bake cakes at a temperature of 350.0 °F. The...
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