A light bulb manufacturer guarantees that the mean life of a certain type of bulb is at least 750 hours; the standard deviation for all such bulbs is known to be 60 hours. A random sample of 36 light bulbs has a mean life of 745 hours. Based on this sample data, is there evidence at the a= .02 significance level to reject the manufacturer's claim? No, because z = -.50 is negative. Yes, because 0.3085 falls in the rejection region No, because p= .3085 is greater than the significance level. Yes, because 0.3085 falls in the noncritical region

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A light bulb manufacturer guarantees that the mean life of a certain type of bulb is at
least 750 hours; the standard deviation for all such bulbs is known to be 60 hours.
A random sample of 36 light bulbs has a mean life of 745 hours.
Based on this sample data, is there evidence at the a= .02 significance level to reject the
manufacturer's claim?
No, because z = -.50 is negative.
Yes, because 0.3085 falls in the rejection region
No, because p= .3085 is greater than the significance level.
Yes, because 0.3085 falls in the noncritical region
Transcribed Image Text:A light bulb manufacturer guarantees that the mean life of a certain type of bulb is at least 750 hours; the standard deviation for all such bulbs is known to be 60 hours. A random sample of 36 light bulbs has a mean life of 745 hours. Based on this sample data, is there evidence at the a= .02 significance level to reject the manufacturer's claim? No, because z = -.50 is negative. Yes, because 0.3085 falls in the rejection region No, because p= .3085 is greater than the significance level. Yes, because 0.3085 falls in the noncritical region
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