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A local brewery distributes beer in bottles labeled 12 ounces. The brew master wants to make sure that the bottling equipment is indeed putting 12...
A local brewery distributes beer in bottles labeled 12 ounces. The brew master wants to make sure that the bottling equipment is indeed putting 12 ounces of beer per bottle. She directs her staff to take a random sample of 30 bottles and measure the contents. The sample had a mean weight of 11.6 ounces with a standard deviation of 0.7 ounces. Using a level of significance of 0.01 does she have enough evidence to reject the claim that the mean is 12.0 ounces of beer per bottle.
How do you determine the rejection regions and calculate standardized test statistic?
