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.
41 measured data points have a sample mean of 17.6 and a standard deviation of 1.79....
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.
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.
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.
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.
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
2. A population is known to have a standard deviation of 26.1. A sample space of 35 items has a mean of (1 point) 562. Construct a 90% confidence interval estimate of the mean of the population. 0566<p<558 0555<pバ569 O 551<H573 0561<p<563 3. While researching the cost of school lunches per week across the state, you use a sample size of 45(point) weekly lunch prices. The standard deviation is known to be 68 cents. In order to be 90% confident,...
8. Suppose the scores of students on an exam are normally distributed with mean u = 17.6 and standard deviation o = 4.9. (a) Determine the distribution of the sample mean score for a randomly selected sample of 36 students who took the exam. (b) Find the probability that the sample mean score will be less than 20 for a sample of 36 randomly selected students. (c) How large a sample size would be required to ensure that the probability...
1. Find the mean and standard deviation of the sample data in the table. (Round your answers to two decimal places.) x 1 2 3 4 5 f(x) 1 3 15 13 3 mean= standard deviation= 2. Question Part Points Submissions Used The table defines a discrete probability distribution. Find the expected value of the distribution. x 0 1 2 3 Pr(x) 3/16 5/16 1/4 1/4
Use the one-mean t-interval procedure with the sample mean, sample size, sample standard deviation, and confidence level given below to find a confidence interval for the mean of the population from which the sample was drawn. x̄=4.0 n=61 s=6.1 confidence level =99% The 99% confidence interval about μ is ??? to ??? (Round to four decimal places as needed.)
Use the one-mean t-interval procedure with the sample mean, sample size, sample standard deviation, and confidence level given below to find a confidence interval for the mean of the population from which the sample was drawn. sample mean=3.0 n=41 s=5.4 confidence level=90% The 90% confidence interval about μ is ?? to ???