A group of engineers developed a new design for a steel cable. They need to estimate the amount of weight the cable can hold. The weight limit will be reported on cable packaging. The engineers take a random sample of 46 cables and apply weights to each of them until they break. The 46 cables have a mean breaking weight of 779 lb. The standard deviation of the breaking weight for the sample is 15.4 lb. Find the 99% confidence interval to estimate the mean breaking weight for this type cable. Your answer should be to 2 decimal places.
Formula for Confidence Interval for Population mean when population Standard deviation is not known
Given | |
Sample Mean : : Sample mean breaking weight | 779 |
Sample Standard Deviation : s: Sample standard deviation of the breaking weight | 15.4 |
Sample Size : n : Number of randomly selected cables | 46 |
Degrees of freedom : n-1 | 45 |
Confidence Level : | 99 |
=(100-99)/100 = 0.01 | 0.01 |
/2=0.01/2=0.005 | 0.005 |
2.6896 |
99% confidence interval to estimate the mean breaking weight for this type cable:
99% confidence interval to estimate the mean breaking weight for this type cable: = (772.89,785.11)
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