Question

In: Statistics and Probability

Lightbulbs of a certain type are advertised as having an average lifetime of 750 hours. The...

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?

Solutions

Expert Solution


Related Solutions

Lightbulbs of a certain type are advertised as having an average lifetime of 750 hours. The...
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 move forward with a purchase agreement unless it can be demonstrated that the true average lifetime is smaller than what is advertised. A random sample of 50 lightbulbs was selected, the lifetime of each bulb determined, and the appropriate hypotheses were tested using computer software, which gave the following results....
The lifetime of a certain brand of lightbulbs is normally distributed with the mean of 3800...
The lifetime of a certain brand of lightbulbs is normally distributed with the mean of 3800 hours and standard deviation of 250 hours. The probability that randomly selected lightbulb will have lifetime more than 3500 hours is ________ The percent of lightbulbs which have the lifetime between 3500 and 4200 hours is __________ What lifetime should the manufacturer advertise for these lightbulbs if he assumes that 10% of lightbulbs with the smallest lifetimes will burn out by that time? Advertised...
The lifetime of a certain kind of battery is exponentially distributed, with an average lifetime of...
The lifetime of a certain kind of battery is exponentially distributed, with an average lifetime of 25 hours 4. Find the value of the 60th percentile for the lifetime of one battery. Remember units! 5. Write an interpretation (a sentence) of the 60th percentile for the lifetime of one battery. Your interpretation should include the value of the 60th percentile with correct units. 6. We are interested in the average lifetime of 16 of these batteries. Call this random variable....
Let μ denote the true average lifetime for a certain type of pen under controlled laboratory...
Let μ denote the true average lifetime for a certain type of pen under controlled laboratory conditions. A test of H0: μ = 10 versus Ha: μ < 10 will be based on a sample of size 36. Suppose that σ is known to be 0.6, from which σx = 0.1. The appropriate test statistic is then Answer the following questions using Table 2 in Appendix A. (a) What is α for the test procedure that rejects H0 if z...
Vita Pills were advertised as having 750 mg of vitamin B3 per pill. A consumer's group...
Vita Pills were advertised as having 750 mg of vitamin B3 per pill. A consumer's group hypothesizes that the amount of vitamin B3 is less than what is advertised. What can be concluded with α = 0.05. The vitamin B3 content per pill from a sample of pills is as follows: 701, 761, 716, 721, 751, 721, 719, 741. a) What is the appropriate test statistic? ---Select one--- (na, z-test, One-Sample t-test, Independent-Samples t-test, Related-Samples t-test) b) Population: ---Select one---...
A certain brand of light bulb is advertised to last 1600 hours. Suppose that the lifetimes...
A certain brand of light bulb is advertised to last 1600 hours. Suppose that the lifetimes of the light bulbs are normally distributed with a mean lifetime of 1650 hours and a standard deviation of 60 hours. (a) Sketch the normal distribution, go out 3 standard deviations. (b) What proportion of the light bulbs last at least the advertised time of 1600 hours? P(x ≥ 1600) = (Use the normalcdf on your graphing calculator.) (c) What proportion of light bulbs...
The lifetime of a certain battery is normally distributed with a mean value of 20 hours...
The lifetime of a certain battery is normally distributed with a mean value of 20 hours and a standard deviation of 2.5 hours. a. What are the distribution parameters (μ and σ) of the sample mean if you sample a four pack of batteries from this population? b. If there are four batteries in a pack, what is the probability that the average lifetime of these four batteries lies between 18 and 20? c. What happens to the probability in...
The lifetime of a certain type of battery is normally distributed with a mean of 1000...
The lifetime of a certain type of battery is normally distributed with a mean of 1000 hours and a standard deviation of 100 hours. Find the probability that a randomly selected battery will last between 950 and 1000 (round answers to three decimal places, example 0.xxx)? The lifetime of a certain type of battery is normally distributed with a mean of 1000 hours and a standard deviation of 100 hours. Find the probability that a randomly selected battery will last...
The lifetime of a certain type of batteries follows an exponential distribution with the mean of...
The lifetime of a certain type of batteries follows an exponential distribution with the mean of 12 hours. a) What is the probability that a battery will last more than 14 hours? (Answer: 0.3114) b) Once a battery is depleted, it is replaced with a new battery of the same type. Assumingindependence between lifetimes of batteries, what is the probability that exactly 2 batteries will be depleted within 20 hours? (Answer: 0.2623) c) What is the probability that it takes...
the lifetime of a certain battery has an unknown distribution with mean value 8 hours and...
the lifetime of a certain battery has an unknown distribution with mean value 8 hours and a standard deviation of 2 hours. what is the probability that the average battery lifetime of a sample of 36 batteries will be greater than 8.1 hours? I know by the CLT that at 36 trials the sample mean will follow a normal distribution but i cant remember how to calculate the variance of this distribution nor do i know where to go from...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT