Question

A sample of 10,000 electrical measurements has a mean of 380 kilovolts and standard deviation =...

A sample of 10,000 electrical measurements has a mean of 380 kilovolts and standard deviation = 5 kilovolts. The measurement does not follow any particular distribution. (a). use Tchebysheff's theorem to find the range of measurements [low, high] so that probability will be at least 80%

(b). Use Tchebysheff's theorem to find the measurement value that will be greater than at most 5% of the time

0 0
Add a comment Improve this question Transcribed image text
Know the answer?
Add Answer to:
A sample of 10,000 electrical measurements has a mean of 380 kilovolts and standard deviation =...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • A distribution of measurements is relatively mound-shaped with a mean of 80 and a standard deviation...

    A distribution of measurements is relatively mound-shaped with a mean of 80 and a standard deviation of 14. Use this information to find the proportion of measurements in the given interval. Greater than 94

  • 13 measured data points have a sample mean of 6.32 and a standard deviation of 1.45....

    13 measured data points have a sample mean of 6.32 and a standard deviation of 1.45. Estimate the range of values for which you would expect 90% of all future measurements to fall (or for a single future measurement to fall within 90% probability). Find a, where the data is expected to fall ±a about the sample mean.

  • 20 measured data points have a sample mean of 72.4 and a standard deviation of 6.89....

    20 measured data points have a sample mean of 72.4 and a standard deviation of 6.89. Estimate the range of values for which you would expect 99% of all future measurements to fall (or for a single future measurement to fall within 99% probability). Find a, where the data is expected to fall ±a about the sample mean.

  • 51 measured data points have a sample mean of 56.04 and a standard deviation of 3.4....

    51 measured data points have a sample mean of 56.04 and a standard deviation of 3.4. Estimate the range of values for which you would expect 95% of all future measurements to fall (or for a single future measurement to fall within 95% probability). Find a, where the data is expected to fall ±a about the sample mean

  • 1. A distribution of measurements is relatively mound-shaped with a mean of 60 and a standard...

    1. A distribution of measurements is relatively mound-shaped with a mean of 60 and a standard deviation of 11. Use this information to find the proportion of measurements in the given interval. between 49 and 71 2. A distribution of measurements is relatively mound-shaped with a mean of 80 and a standard deviation of 12. Use this information to find the proportion of measurements in the given interval. greater than 92 3. A distribution of measurements has a mean of...

  • 5.4.1 Question Help A population has a mean = 141 and a standard deviation o =...

    5.4.1 Question Help A population has a mean = 141 and a standard deviation o = 28. Find the mean and standard deviation of the sampling distribution of sample means with sample size n = 40. The mean is :-), and the standard deviation is 0;=0 (Round to three decimal places as needed.) 5.4.2 Question Help A population has a meanu - 74 and a standard deviation = 8. Find the mean and standard deviation of a sampling distribution of...

  • 5.4.1 Question Help A population has a mean μ-84 and a standard deviation σ-36. Find the...

    5.4.1 Question Help A population has a mean μ-84 and a standard deviation σ-36. Find the mean and standard deviation of a sampling distribution of sample means with sample size n 81. μί-d (simplify your answer.) 5.4.18-T Question Help I * The population mean and standard deviation are given below. Find the indicated probability and determine whether a sample mean in the given range below would be considered unusual. If convenient, use technology to find the probability For a sample...

  • 1-After a million measurements of thing x, we find a sample mean of 50.39 and standard...

    1-After a million measurements of thing x, we find a sample mean of 50.39 and standard deviation of 1. What chance, in percent (0-100) does the next measurement have of being 2 standard deviations from the mean? Do not include the percent sign? 2- After a million measurements of thing x, we find a sample mean of 60.1 and standard deviation of 3.22. What chance, in percent (0-100) does the next measurement have of being 3 standard deviations from the...

  • Question 4 (10 points): A distribution of measurements is relatively mound-shaped with mean 45 and standard...

    Question 4 (10 points): A distribution of measurements is relatively mound-shaped with mean 45 and standard deviation 15 (a) What proportion of the measurements will fall between 30 and 60? (b) What proportion of the measurements will fall between 15 and 75? (c What proportion of the measurements w fall between 30 and 75? (d) If a measurement is chosen at random from this distribution, what is the probability that it will be greater than 60?

  • Use the Central Limit Theorem for Sums to find the sample mean and sample standard deviation...

    Use the Central Limit Theorem for Sums to find the sample mean and sample standard deviation Question Suppose weights, in pounds, of dogs in a city have an unknown distribution with mean 26 and standard deviation 3 pounds. A sample of size n = 67 is randomly taken from the population and the sum of the values is computed. Using the Central Limit Theorem for Sums, what is the mean for the sample sum distribution? Provide your answer below: pounds

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT