I will be sure to rate well, Thanks!
I will be sure to rate well, Thanks! The quality-control manager at a compact fluorescent light...
The quality control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7.496 hours. The population standard deviation is 92 hours. A random sample of 64 light bulbs indicatos a sample mean life of 7,473 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,496 hours? b. Compute the p-value and interpret its meaning. c....
The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7,520 hours. The population standard deviation is 840 hours. A random sample of 49 light bulbs indicates a sample mean life of 7,340 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,520 hours? b. Compute the p-value and interpret its meaning. c. Construct...
this problem requires PhStat solution. The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7,500 hours. The population standard deviation is 1,000 hours. A random sample of 64 CFLs indicate a sample mean life of 7,250 hours. 1. At 0.05 level of significance, state your decision. 2. Using the critical value approach, is there evidence that the mean life is different from...
The quality control manager at a light bulb factory needs to determine whether the mean life of a large shipment of light bulbs is equal to 375.00 hours. The STDEV.P = 100.00 hours. A random sample of 64 light bulbs indicates a MEAN.S of 350.00 hours a) At the 0.05 level of significance, is there evidence that the mean life is different from 375.00 hours? (define the Ho and H1) (explain whether you will reject or not reject HO) (check...
Stats Hw- Please Help 3. A company that manufactures compact fluorescent light bulbs (CFL) claims that they will operate for a mean of 10,000 hours with a level of significance equal to 0.05. An engineer from the company performs a test to validate this claim. The hypotheses are: Null hypothesis: μ = 10,000 hours Alternate hypothesis: μ ≠ 10,000 hours The engineer does accelerated lifetime testing on 50 of these bulbs and finds that the mean lifetime is 9875 hours...
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 743 hours. A random sample of 21 light bulbs has a mean life of 717 hours. Assume the population is normally distributed and the population standard deviation is 64 hours. At a = 0.05, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e) (a) Identify the null hypothesis and alternative hypothesis. O A. Ho: $717...
Confidence Interval The quality-control manager at a light bulb factory needs to determine whether the mean life of a large shipment of light bulbs is equal to 375 hours. The population standard deviation is 120 hours. A random sample of 64 light bulbs indicates a sample mean life of 350 hours. 1. At the 95% confidence level, what is the critical value? 39. What is the confidence interval based on this data? 2. Is there evidence that the mean life...
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 753 hours. A random sample of 20 light bulbs has a mean life of 732 hours. Assume the population is normally distributed and the population standard deviation is 61 hours. At α=0.02, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e). (a) Identify the null hypothesis and alternative hypothesis. A. H0: μ<732 (claim) Ha: μ≥732...
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 753 hours. A random sample of 20 light bulbs has a mean life of 732 hours. Assume the population is normally distributed and the population standard deviation is 61 hours. At a =0.02, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (o). (a) Identify the null hypothesis and alternative hypothesis. O A. Ho: < 732...
A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 775 hours. A random sample of 23 light bulbs has a mean life of 763 hours. Assume the population is normally distributed and the population standard deviation is 64 hours. At alpha equals 0.08, do you have enough evidence to reject the manufacturer's claim? Complete parts (b) through (d) (b) Identify the critical value(s). Use technology. (c) Identify the standardized test...