Worked solution
Test a longer-life bulb claim using CLT
For many years the Consumer Union has found that the mean lifetime of a 100-watt light bulb is 72 days of continuous use, with standard deviation 12 days. The company markets a “new and improved” bulb yielding longer life. A sample of 55 new bulbs has average lifetime 75.2 days. Does this provide sufficient evidence of superiority at the 5% significance level?
CJC · Discussion · Question 2
Answer
Reject at 5%; upper-tail supports a mean lifetime above 72 days.
State the model and test direction
Let be the new bulbs’ population mean lifetime. Test against . As in the source, assume the new population still has SD 12 days and the 55 observations are independent and representative. Normality of individual lifetimes is not given; use under by CLT.
Both numerical decision methods
. The upper-tail p-value is , so reject. Equivalently, , the 5% upper critical value. The source Z-Test → Stats entries are , , , , alternative >. There is sufficient evidence at 5% of a mean lifetime above 72 days. “Superior” here refers only to longer mean life, not every aspect of quality.
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Common mistakes
The historical SD need not automatically carry over to a changed product. This is an assumption of the source test, and n 55 does not guarantee an accurate normal tail for every possible population.