An article contained the following observations on degree of polymerization for paper specimens for which viscosity times concentration fell in a certain middle range: 415 421 422 423 425 427 430 435 437 439 446 446 448 453 456 463 464 Calculate a two-sided 95% confidence interval for true average degree of polymerization.(Round your answers to two decimal places.)
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An article contained the following observations on degree of polymerization for paper specimens for which viscosity times concentration fell in a certain middle range:
415 | 421 | 422 | 423 | 425 | 427 | 430 | 435 | 437 |
439 | 446 | 446 | 448 | 453 | 456 | 463 | 464 |
Calculate a two-sided 95% confidence interval for true average degree of polymerization.(Round your answers to two decimal places.)
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- A manufacturer bonds a plastic coating to a metal surface. A random sample of nine observations on the thickness of this coating is taken from a week's output and the thickness (in millimeters) of these observations are shown below. Assuming normality, find a 90% confidence interval for the population variance. 19.5 21.7 18.8 20.7 21.4 19.1 19.5 20.1 20.6 Click the icon to view a table of lower critical values for the chi-square distribution. Click the icon to view a table of upper critical values for the chi-square distribution. ... Find the 90% confidence interval. |A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled, and the average error from the industry standard is measured in millimeters. The results are presented here. Process A Process B Sample mean 18.00 19.00 Standard deviation 1.00 0.5 Sample size 28 30 The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that Process A is the first population. The population standard deviations are unknown but are assumed equal. What are the degrees of freedom? Multiple Choice 26 29 58 56A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled, and the average error from the industry standard is measured in millimeters. The results are presented here. Process A Process B Sample mean 2.0 3.0 Standard deviation 1.0 0.5 Sample size 12 14 The researcher is interested in determining whether there is evidence that the two processes yield different average errors. The population standard deviations are unknown but assumed equal. What is the alternate hypothesis? Multiple Choice H1: µA = µB H1: µA ≠ µB H1: µA ≤ µB H1: µA > µBYou wish to test the following claim (Ha) at a significance level of a = 0.10. 51.3 Ηο:μ Ha:μ< 51.3 You believe the population is normally distributed, but you do not know the standard deviation. You obtain the following sample of data: data 56 49.5 56.8 48.9 55.7 55.7 What is the test statistic for this sample? (Report answer accurate to 3 decimal places.) test statistic = What is the P-value for this sample? (Report answer accurate to 3 decimal places.) P-value =(3) Two methods were applied to measure and test the standard reference materials of chromium. Quantity Method 1 Method 2 Mean Value (ppm) Standard deviation (ppm) 0.082005 0.0826052 0.0000134 0.000129 Number of measurements Are the standard deviations significantly different? Are the mean significantly different at the 95% confidence level? (Show your Calculation)omeb... Kaiser Permanent... /courses/27422/discussion_topics/357765 F2 W Instructions 30F Required parameters: Confidence level: F #3 0.95 Standard deviation: 7.9 E Number of Hours Worked An economic researcher is collecting data about grocery store employees in a county. The data listed below represents a random sample of number of hours worked by 40 employees for several grocery stores in the county. Assume that the population standard deviation is 7.9 hours. An economics researcher wants to estimate the mean number of hours worked by all grocery store employees in the county. How many employees must be included in the sample to be 95% confident that the sample mean is within 1.5 hours of the population mean? 30, 26, 33, 26, 26, 33, 31, 31, 21, 37, 27, 20, 34, 35, 30, 24, 38, 34, 39, 31, 22, 30, 23, 23, 31, 44, 31, 33, 33, 26, 27, 28, 25, 35, 23, ,32, 29, 31, 25, 27 Find the minimum sample size to estimate the population mean hours worked using StatCrunch. 1. Enter data in…The average income of a large sample of households is $63,000 and the s.d. is $7,000. Assume that the data is approximately bell-shaped. What percent of these households have incomes between $42,000 and $77,000? Don’t forget to properly justify your answer using the empirical rule.Here are summary statistics for randomly selected weights of newborn girls: n=36, x=3150.0 g, s=695.5 g. Use a confidence level of 99% to complete parts (a) through (d) below.A solution of an unknown carbohydrate gave the following optical readings when analyzed by a polarimeter +3.24, +3.15, +3.30, +3.20, 3.21, +3.19, +3.17, +3.23, +3.20, +3.25. (a) Calculate the sample mean. (b) Calculate the standard deviation. (c) Calculate the 95% confidence levels for the measurement. 1.#16 Diagnostic Tests: Uric Acid Overproduction of uric acid in the body can be an indication of cell breakdown. Over a period of months, an adult male patient has taken eight blood tests for uric acid. The mean concentration was z = 5.35 mg/dl. The distribution of uric acid in healthy males can be assumed to be normal, with o = 1.85 mg/dl. (a) Find a 95% confidence interval for the population mean concentration of uric acid in this patient's blood. What is the margin of error? (b) What conditions are necessary for your calculation? (c) Interpret your results in the context of this problem. (d) Sample Size Find the sample size (n) necessary for a 95% confidence level with maximal margin of error E = 1.10 for the mean concentration of uric acid in this patient's blood.An article reported the following data on oxygen consumption (mL/kg/min) for a sample of ten firefighters performing a fire-suppression simulation: 28.9 49.2 30.4 28.1 28.3 27.0 33.2 29.0 23.3 30.0 A USE SALT Compute the following. (Round your answers to four decimal places.) (a) The sample range mL/kg/min (b) The sample variance s from the definition (i.e., by first computing deviations, then squaring them, etc.) mL?/kg/min2 (© The sample standard deviation mL/kg/min (d) s using the shortcut method mL2/kg/min2You wish to test the following claim (Ha) at a significance level of a = 0.05. H.:µ = 51.2 H.:µ + 51.2 You believe the population is normally distributed and you know the standard deviation is o = 19.9. You obtain a sample mean of M = 38.6 for a sample of size n = 24. What is the critical value for this test? (Report answer accurate to three decimal places.) critical value = What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic =SEE MORE QUESTIONS