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.
13 measured data points have a sample mean of 6.32 and a standard deviation of 1.45....
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. 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
16 measured data points have a sample mean of -34 and a standard deviation of 1.78. Determine the best estimate of the mean value at 90% probability level. Find a, where the best estimate of the mean value is expected to fall ±a about the sample mean.
7 measured data points have a sample mean of 1403 and a standard deviation of 29. Determine the best estimate of the mean value at 95% probability level. Find a, where the best estimate of the mean value is expected to fall ±a about the sample mean.
41 measured data points have a sample mean of 17.6 and a standard deviation of 1.79. Determine the best estimate of the mean value at 99% probability level. Find a, where the best estimate of the mean value is expected to fall ±a about the sample mean.
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
A population has a mean of 200 and a standard deviation of 90. Suppose a sample of size 100 is selected and X-Bar is used to estimate. Use z-table. A. What is the probability that the sample mean will be within +/- 9 of the population mean (to 4 decimals)? B. What is the probability that the sample mean will be within +/- 16 of the population mean (to 4 decimals)?
A measurement of the acceleration of gravity g is made and the data set is used to calculate a mean and a standard deviation. The mean is 10.00 m/s2, and the standard deviation is 0.67 m/s2. 1. What range of values for g would include about 70% of the data set? What range would include about 95% of the data set? 70% Range: to m/s2. 95% Range: to m/s2. If you have two sets of measurements, and know the mean and standard deviation of...
A population has a mean of 400 and a standard deviation of 50. Suppose a sample of size 100 is selected and I is used to estimate u. Use z-table. a. What is the probability that the sample mean will be within +9 of the population mean (to 4 decimals)? b. What is the probability that the sample mean will be within +13 of the population mean (to 4 decimals)? A population proportion is 0.3. A sample of size 300...
A population has a mean of 400 and a standard deviation of 90. Suppose a sample of size 100 is selected and x with bar on top is used to estimate mu. What is the probability that the sample mean will be within +/- 3 of the population mean (to 4 decimals)? (Round z value in intermediate calculations to 2 decimal places.) What is the probability that the sample mean will be within +/- 14 of the population mean (to...