Question

To test the strength of electric insulators, destructive testing is carried out to determine how much...

  1. To test the strength of electric insulators, destructive testing is carried out to determine how much force is required to break the insulators. The results are a mean force of 1723.4 pounds and a standard deviation of 89.6 pounds.
  1. If 15 strength tests were undertaken, what are the 95% and 99%confidence intervals for the mean breaking strength?
  2. If there were 100 tests undertaken, compute the same confidence intervals. What additional assumption could you make in this case for the test distribution?
  3. For cases (a) and (b), what are the 95% and 99% confidence intervals for the breaking strength variance?

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A manufacturing company produces electric insulators. You define the variable of interest as the strength of...
A manufacturing company produces electric insulators. You define the variable of interest as the strength of the insulators. If the insulators break when in use, a short circuit is likely. To test the strength of the insulators, you carry out destructive testing to determine how much force is required to break the insulators. You measure force by observing how many pounds are applied to the insulator before it breaks. You collect the force data for 20 insulators selected for the...
A manufacturing company produces electric insulators. You define the variable of interest as the strength of...
A manufacturing company produces electric insulators. You define the variable of interest as the strength of the insulators. If the insulators break when in​ use, a short circuit is likely. To test the strength of the​ insulators, you carry out destructive testing to determine how much force is required to break the insulators. You measure force by observing how many pounds are applied to the insulator before it breaks. The accompanying data represent the amount of force required to break...
A manufacturing company produces electric insulators. You define the variable of interest as the strength of...
A manufacturing company produces electric insulators. You define the variable of interest as the strength of the insulators. If the insulators break when in​ use, a short circuit is likely. To test the strength of the​ insulators, you carry out destructive testing to determine how much force is required to break the insulators. You measure force by observing how many pounds are applied to the insulator before it breaks. The accompanying data represent the amount of force required to break...
1. In a destructive test of product quality, a briefcase manufacturer places each of a simple...
1. In a destructive test of product quality, a briefcase manufacturer places each of a simple random sample of the day’s production in a viselike device and measures how many pounds it takes to crush the case. From past experience, the standard deviation has been found to be 21.5 pounds. For 35 cases randomly selected from today’s production, the average breaking strength was 341.0 pounds. The lower confidence limit of 99% confidence interval for the mean breaking strength of the...
2. In a destructive test of product quality, a briefcase manufacturer places each of a simple...
2. In a destructive test of product quality, a briefcase manufacturer places each of a simple random sample of the day’s production in a viselike device and measures how many pounds it takes to crush the case. From past experience, the standard deviation has been found to be 21.5pounds. For 35 cases randomly selected from today’s production, the average breaking strength was 341.0 pounds. The upper confidence limit of 99% confidence interval for the mean breaking strength of the briefcases...
A researcher doing a paired T Test obtains a p-value of 0.026 when testing the hypotheses...
A researcher doing a paired T Test obtains a p-value of 0.026 when testing the hypotheses H0:ud = 0 and Ha: ud =/ 0. If she also computes a 99% confidence interval for the mean difference, which of the following should she expect? Answers: Zero will be in the confidence interval because 0.026 < 0.05 Zero will not be in the confidence interval because 0.026 > 0.01 Zero will not be in the confidence interval because 0.026 < 0.05 Zero...
Case Study: Testing The Strength Of Cans In the chapter opener, we discussed a method used...
Case Study: Testing The Strength Of Cans In the chapter opener, we discussed a method used to determine whether shipments of aluminum cans are strong enough to withstand the pressure of containing a carbonated beverage. Several cans are sampled from a shipment and tested to determine the pressure they can withstand. Based on this small sample, quality inspectors must estimate the proportion of cans that will fail at or below a certain threshold, which we will take to be 90...
Tensile strength tests were carried out on two different grades of wire rod, resulting in the...
Tensile strength tests were carried out on two different grades of wire rod, resulting in the accompanying data. Grade Sample Size Sample Mean (kg/mm^2) sample SD AISI 1064 m=126 x bar = 102.1   s1 = 1.2 AISI 1078   n = 126 y bar = 128.5 s2 = 2.0 (a) Does the data provide compelling evidence for concluding that true average strength for the 1078 grade exceeds that for the 1064 grade by more than 10 kg/mm2? Test the appropriate hypotheses...
5. How heavy are the backpacks carried by college students? To estimate the weight of backpacks...
5. How heavy are the backpacks carried by college students? To estimate the weight of backpacks carried by college students, a researcher weighs the backpacks from a random sample of 58 college students. The average backpack weight ends up being 15.7 pounds, with a standard deviation of 2.4 pounds. If you use this data to construct a 90% confidence interval, what will the margin of error be for this interval? Try not to do a lot of intermediate rounding until...
1. The average number of minutes spent per day using social media by a population of...
1. The average number of minutes spent per day using social media by a population of college sophomores is 29.6 minutes. If we take a random sample of size n = 87 from this population and find that the sample standard deviation is 7.3 minutes, we know the sampling distribution of the sample mean in this case would have a standard deviation equal to A. 4.05 minutes. B. 1.60 minutes. C. 0.78 minutes. D. 7.30 minutes. E. 3.17minutes. 2. Return...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT