. The National Aeronautics and Space Administration (NASA) buys bolts from two suppliers, and it is very important the mean widths of the bolts received from both suppliers are equal since they must be used interchangeably. NASA receives a large shipment of bolts from each supplier, and draws a random sample of 49 bolts from each shipment. It wants to test whether the mean width is the same in both shipments. Suppose that NASA finds the mean width of the bolts taken from one shipment is 1.14 inches, and that the mean width of the bolts taken from the other shipment is 1.09 inches. From past experience it is known that the population standard deviation of the widths from the first supplier is .09 inches and from the second supplier is .11 inches. What is the null hypothesis? What is the alternative hypothesis? What distribution are you using? What test are you running? What is your conclusion
. The National Aeronautics and Space Administration (NASA) buys bolts from two suppliers, and it is very important the mean widths of the bolts received from both suppliers are equal since they must be used interchangeably. NASA receives a large shipment of bolts from each supplier, and draws a random sample of 49 bolts from each shipment. It wants to test whether the mean width is the same in both shipments. Suppose that NASA finds the mean width of the bolts taken from one shipment is 1.14 inches, and that the mean width of the bolts taken from the other shipment is 1.09 inches. From past experience it is known that the population standard deviation of the widths from the first supplier is .09 inches and from the second supplier is .11 inches.
- What is the null hypothesis?
- What is the alternative hypothesis?
- What distribution are you using?
- What test are you running?
- What is your conclusion?
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