In: Statistics and Probability
Lightbulbs of a certain type are advertised as having an average lifetime of 750 hours. The price of these bulbs is very favorable, so a potential customer has decided to go ahead with a purchase arrangement unless it can be conclusively demonstrated that the true average lifetime is smaller than what is advertised. A random sample of 42 bulbs was selected, the lifetime of each bulb determined, and the appropriate hypotheses were tested using MINITAB, resulting in the accompanying output.
Variable | N | Mean | StDev | SEMean | Z | P-Value |
lifetime | 42 | 738.44 | 37.68 | 5.81 |
−1.99 |
0.023 |
What conclusion would be appropriate for a significance level of 0.05?
Reject the null hypothesis. There is not sufficient evidence to conclude that the lifetime of a bulb is less than 750 hours.Reject the null hypothesis. There is sufficient evidence to conclude that the lifetime of a bulb is less than 750 hours. Do not reject the null hypothesis. There is not sufficient evidence to conclude that the lifetime of a bulb is less than 750 hours.Do not reject the null hypothesis. There is sufficient evidence to conclude that the lifetime of a bulb is less than 750 hours.
What conclusion would be appropriate for a significance level of
0.01?
Do not reject the null hypothesis. There is sufficient evidence to conclude that the lifetime of a bulb is less than 750 hours.Do not reject the null hypothesis. There is not sufficient evidence to conclude that the lifetime of a bulb is less than 750 hours. Reject the null hypothesis. There is not sufficient evidence to conclude that the lifetime of a bulb is less than 750 hours.Reject the null hypothesis. There is sufficient evidence to conclude that the lifetime of a bulb is less than 750 hours.
What significance level and conclusion would you recommend and
why?