Check My Work (2 remaining)The U.S. Energy Information Administration (US EIA) reported that the average price for a gallon of regular gasoline is $3.89. The US EIA updates its estimates of average gas prices on a weekly basis. Assume the standard deviation is $0.24 for the price of agallon of regular gasoline and recommend the appropriate sample size for the US EIA to use if they wish to report each of the following margins of error at 95% confidence. Round up to the next whole number.a. The desired margin of eror is $0.11, The appropriate sample size isb. The desired margin of error is $0.07, The appropriate sample size isG. The desired margin of error is $0.05, The appropriate sample size is

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Answered: Check My Work (2 remaining) The U.S.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The lengths of nails produced in a factory are normally distributed with a mean of 3.343.34 centimeters and a standard deviation of 0.070.07 centimeters. Find the two lengths that separate the top 3%3% and the bottom 3%3%.
The diameters of bolts produced in a machine shop are normally distributed with a mean of 5.79 millimeters and a standard deviation of 0.07 millimeters. Find the two diameters that separate the top 7% and the bottom 7%. These diameters could serve as limits used to identify which bolts should be rejected. Round to the nearest hundredth if necessary.
Assuming a population mean of 900 and a population standard deviation of 200 for LCSW scores. What percentage of individuals have LCSW scores greater than 1100? Plot answer on a normal distribution curve.
An industrial engineer is conducting a time study for a work element. The select time is 4.5 minutes, and the sample standard deviation of the observed time is 20 seconds. What is the appropriate sample size if the estimate is to be 5 percent of the true average time 95 percent of the time?
Assume that the heights of women are normally distributed with a mean of 62.4 inches and a standard deviation of 1.6 inches. Find Q3 the third quartile that separates the bottom 75% from the top 25%
Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"
When we make a set of measurements, the width or standard deviation of the sampled parent distribution generally reflects the accuracy of our measurement methods. True or False
In a large shipment of ball bearings the diameters have a mean of 0.4 inches and a standard deviation of 0.04 inches. Assuming that the distribution of these diameters can be approximated closely with a normal curve, the percentage of ball bearings have a diameter of 0.400 inches or more is ______________.
Humerus bones from the same species of animal have approximately the same length-to-width ratios. It is known that Species A has a mean ratio of 5.9. Suppose that 100 fossil humerus bones were unearthed at a site where Species A is known to have flourished. (We assume that all bones are from the same species.) The length-to-width ratios of these bones have a sample mean 5.6 and sample standard deviation 0.25. Can we conclude that the mean ratio of these bones is significantly smaller than those of Species A? Test with a 0.01 significance level. What is the standard error?
If there is significantly more variability between samples than within samples , this tends to be indicative of : 1 use of an inefficient study design. 2. actual mean differences attributed to the factor. 3. incidental differences attributed to samplig error. 4. actual variance difference attribute to different samples.
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