A manufacturer of LCD projector light bulbs is testing a new light bulb manufacturing process. They want to improve the longevity of these light bulbs they produce. However, due to the high cost associated with switching over to the new manufacturing process, they can only do so if there is clear evidence that the new production method is superior to their current production method, in terms of longer lasting LCD light bulbs. To test this, they randomly pick a sample of 85 bulbs produced using the current method, this sample yields a mean of 2850 working hours with a standard deviation of 450 hours. They also randomly choose a sample of 121 bulbs produced with the new process. This second sample yields a mean of 3100 working hours and a standard deviation of 400 hours. Suppose a confidence interval is to be constructed for the mean difference (new process - old process) in the two processes. Do not assume equal variances https://www.webassign.net/csalt/index.html#/toolset/inferential-statistics A) What would be the lower limit of the 95% confidence interval? Rounded to Choose the nearest whole number? B) What would be the upper limit of the 95% confidence interval? Rounded to Choose the nearest whole number? () Does the 95%% confidence interval provide clear evidence that the average working hours of a light bulb using new Choose process is greater than when using the old process? Why? D) An engineer claims that the new process produces bulbs that on average last at least 500 hours longer compared choose to the current process? Is this a valid