The following MINITAB output display presents a 98% confidence interval for the difference between two means.ABN17Part: 0 / 325Part 1 of 3Mean72.9172Difference = mu (A) - mu (B)52.1743St Dev10.7134Estimate for difference: 20.74299.123798% CI for difference: (12.9408, 28.5450) DF = 30The point estimate of μ₁ −μ₂ is.SE MeanX2.59841.8247

Answered: The following MINITAB output display…

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 mean noise level of 19 randomly selected areas designated as emergency rooms was 63.1 dBA and the sample standard deviation is 5.0 dBA. The mean noise level for 24 randomly selected areas designated as operating theaters was 56.3 dBA and the sample standard deviation was 7.0 dBA. An engineer reported a confidence interval of (1.8454, 11.409) for the difference in the mean noise level between areas designated as emergency rooms and areas designated for operating theaters, but neglected to specify the significance level. Estimate the significance level of the confidence interval if the population standard deviations, 01 and oz of the two populations are unknown and unequal. At the estimated significance level, could it be concluded that there is a difference in the means?
Unfortunately, arsenic occurs naturally in some ground water. A mean arsenic level of µ = 8 parts per billion (ppb) is considered safe for agricultural use. A well in Los Banos is used to water cotton crops. This well is tested on a regular basis for arsenic. A random sample of 37 tests gave a sample mean of = 7.3ppb arsenic. It is known that o = 1.9ppb for this type of data. Does this information indicate that the mean level of arsenic in this well is less than 8 ppb? Use the classical approach. Use a = 0.01 What is the calculation (step 4) for this problem? Z = -2.34 z = 2.34 z = 2.24 z = -2.24
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The concentration of carbon monoxide (CO) in a gas sample is measured by a spectrophotometer and found to be 85 ppm. Through long experience with this instrument, it is believed that its measurements are unbiased and normally distributed, with an uncertainty (standard deviation) of 8 ppm. Find a 95% confidence interval for the concentration of CO in this sample.
The average height of students at UT from an SRS of 11 students gave a standard deviation of 3.0 feet. Construct a 95% confidence interval for the standard deviation of the height of students at UT. Assume normality for the data.
A sample of 20 fossil skeletons of an extinct species of bird has been collected. The mean length of the skulls in this sample is 6.2 cm and the standard deviation of the sample is 0.35cm. Assuming that such measurements are normally distributed, find a 90% confidence interval for the population mean length of the skulls of this species of bird. You may want to use one of these: qt (p=0.10, df-19, lower.tail=FALSE)=1.327728 qt (p=0.05, df-19, lower.tail=FALSE)=1.729133 qnorm(0.10, mean=0, sd=1, lower.tail=FALSE) =1.281552 qnorm(0.05,mean=0, sd=1, lower.tail=FALSE)=1.644854 O(6.065, 6.335) (5.624, 6.776) (5.751, 6.649) (5.595, 6.805)
A 95% confidence interval for the mean was computed with a sample of size 100 to be (10,14). Then the Error is ±2. true or false
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A particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be replaced. From past studies of this tire, the standard deviation is known to be 8,000. A survey of owners of that tire design is conducted. From the 28 tires surveyed, the mean lifespan was 46,500 miles with a standard deviation of 9,800 miles. Using α=0.05α=0.05, is the data highly inconsistent with the claim?
A small university is trying to monitor its electricity usage. For a random sample of 30 weekend days (Saturdays and Sundays), the student center used an average of 94.26 kilowatt hours (kWh) with standard deviation 43.29. For a random sample of 60 weekdays, (Monday - Friday), the student center used an average of 112.63 kWh with standard deviation 32.07. Construct a 95% confidence interval for the difference in mean electricity use at the student center between weekdays and weekend days. Use two decimal places in your margin of error. -6.80 to 43.54 kWh -4.61 to 41.35 kWh -3.38 to 40.51 kWh 0.12 to 36.62 kWh
is 0.80 against the alternative that it is not. (Simple Regression & Correlation] 06. (a) Duracell manufactures batteries that the CEO claims will last an average of 300 hours under normal use. A researcher randomly selected 20 batteries from the production line and tested these batteries. The tested batteries had a mean life span of 270 hours with a standard deviation of 50 hours. Do wehave enough evidence to suggest that the claim of an average li fetime of 300 hours is false? b) Newborn babies are more likely to be boys than girls. A random sample found 13,173 boys were born among 25,468 newbom children. The sample proportion of boys was 0.5172. Is this sample evidence that the birth of boys is more common than the birth of girls in the entire population? Ilypothesis Testing
In the past, a chemical company produced a certain type of plastic. Now, using a newly developed and less expensive process, the mean daily yield of plastic for the first 50 days of production is 871 pounds; the standard deviation is 21 pounds. (a) Find the value of Za /2in order to find a 90% confidence interval for the mean daily yield of plastic per day for the newly developed process.

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