The manufacturing process at a factory produces ball bearingsthat are sold to automotive manufacturers. The factory wants toestimate the average diameter of a ball bearing that is in demandto ensure that it is manufactured within the specifications.Suppose they plan to collect a sample of 50 ball bearings andmeasure their diameters to construct a 90% and 99% confidenceinterval for the average diameter of ball bearings produced fromthis manufacturing process.
The sample of size 50 was generated using Python's numpy module.This data set will be unique to you, and therefore your answerswill be unique as well. Run Step 1 in the Python script to generateyour unique sample data. Check to make sure your sample data isshown in your attachment.
In your initial post, address the following items. Be sure toanswer the questions about both confidence intervals and hypothesistesting.
It has been claimed from previous studies that the averagediameter of ball bearings from this manufacturing process is 2.30cm. Based on the sample of 50 that you collected, is there evidenceto suggest that the average diameter is greater than 2.30 cm?Perform a hypothesis test for the population mean at alpha =0.01.
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The manufacturing process at a factory produces ball bearings that are sold to automotive manufacturers. The factory wan
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The manufacturing process at a factory produces ball bearings that are sold to automotive manufacturers. The factory wan
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