A researcher is studying how much electricity (in kilowatt hours) people from two different cities use intheir homes. Random samples of 11 days from Atlanta (Group 1) and 12 days from New Orleans (Group 2)are shown below. Test the claim that the mean number of kilowatt hours in Atlanta is less than the meannumber of kilowatt hours in New Orleans. Use a significance level of a = 0.05. Assume the populations areapproximately normally distributed with unequal variances. Round answers to 4 decimal places.Atlanta New Orleans793.5809.2799807.6803.6814.8824.3811.8802.9788.1816.5800.6789.7791.4800.4813.5773.8788.3792.4780.8773.1793.5804.8What are the correct hypotheses? Note this may view better in full screen mode. Select the correct symbolsfor each of the 6 spaces.Ho: Select an answer ✓? Select an answerH₁: Select an answer ✓ ? V Select an answerBased on the hypotheses, find the following:Test Statistic =p-value =The p-value is Select an answerThe correct decision is to Select an answerThe correct summary would be: Select an answerof kilowatt hours in Atlanta is less than the mean number of kilowatt hours in New Orleans.to alpha.the claim that the mean number

Given Information: The random sample of size from Atlanta, n1=11 The random sample of size from…

Answered: A researcher is studying how much…

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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Mr Chimbukutu, owner of a bakery said that the average weekly production level of his company was 11,398 loaves and the variance is 49,729. If data used to compute the results were collected for 32 weeks, during how many weeks was the production level below 11,175 and above 11,844?
The manager of a fleet of automobiles is testing two brands of radial tires and assigns one tire of each brand at random of eight cars and runs the cars until the tires wear out. The data (in kilometers) follow. Is there any difference in mean life of these two brands of tires? Car Brand Brand 36,925 34.318 42,280 1 45.300 36,240 3 4 35.500 32,100 31,950 38,015 37.210 48,360 5 47,800 38,200 37,810 33.500 33,215 6. 7 8. 1. Is this samples independent or paired samples? Explain. 2. Write Ho and H1 3. Calculate Test statistics(T). 4. What is the critical value (T from tables)? 5. What is your conclusions if a = 0.05? 6. Estimate with 90% confidence the different in the means. Which brand would you prefer based on this calculation?
Given that age of ECU students is normally distributed. A random sample of 16 students had an average age of 25 years and a variance of 4 square years. The 98% CI for the true average age of all ECU students is?
Please answer part d), e) and f)
Water samples are taken from water used for cooling as it is being discharged from a power plant into a river. It has been determined that as long as the mean temperature of the discharged water is at most 150°F, there will be no negative effects on the river's ecosystem. To investigate whether the plant is in compliance with regulations that prohibit a mean discharge water temperature above 150°, 50 water samples will be taken at randomly selected times and the temperature of each sample recorded. The resulting data will be used to test the hypotheses Ho: μ = 150° versus H₂: μ > 150°. In the context of this situation, describe type I error. a A type I error occurs when our estimate for the mean discharge temperature is higher than the actual temperature. A type I error occurs when we say that the plant is not in compliance when in fact it is. A type I error occurs when our estimate for the mean discharge temperature is lower than the actual temperature. A type I error occurs when we…
Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x= 100.1, y = 98.3, r=0.961, P-value = 0.000, and y = - 18.02 + 1.16x, where x represents the IQ score of the wife. Find the best predicted value of y given that the wife has an IQ of 100? Use a significance level of 0.05. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y is (Round to two decimal places as needed.)
. A process that cuts lengths of metal with high precision has historically produced metal rods with length that is normally distributed and with a mean of 800 millimetres (mm). Management at the factory is concerned that after an overhaul of the machine the mean length of the rods being produced could differ from the required 800 mm. If it is found that the rods are not being produced to specifications then the machine will have to be stopped for readjustment, with a consequent loss of production. The production line manager tasked with investigating the issue finds that a (random) sample of 25 rods yielded a mean length of 806 mm and a sample standard deviation of 10 mm. i. The mean of the sample is clearly not the required 800 mm. Say why this is not enough information in itself to say if the machine is operating correctly or not. ii. State the null and alternative hypotheses for this situation.
Low‑density lipoprotein, or LDL, is the main source of cholesterol buildup and blockage in the arteries. This is why LDL is known as "bad cholesterol." LDL is measured in milligrams per deciliter of blood, or mg/dL. In a population of adults at risk for cardiovascular problems, the distribution of LDL levels is normal, with a mean of 123123 mg/dL and a standard deviation of 4141 mg/dL. If an individual's LDL is at least 11 standard deviation or more above the mean, he or she will be monitored carefully by a doctor. What percentage of individuals from this population will have LDL levels 11 or more standard deviations above the mean? Use the 6868–9595–99.799.7 rule. (Enter your exact answer as a whole number.)
What is one property of a stationary time series? Question 23 options: The datapoints demonstrate a clear seasonal pattern The mean remains constant over time It is plotted as a straight horizontal line It demonstrates an upward trend
Please answer step by step solution
A data set contains information on the grams of fat and number of calories in 25 different fast foods. The correlation coefficient between fat content and calories is determined to be 0.69. Calculate the p-value for the test of significance.
You are asked to calculate the 94% Cl for the mean value of a normally distributed population with known variance = 144. Which of the following critical values should be used?

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