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Independent random samples are taken from the output of two machines on a production line. The weight of each item is of interest. size 36 is taken, with sample mean weight of 120 grams and a sample variance of 4. From the second machine, a sample of size 64 is taken, with a sample mean weight of 130 grams and a sample variance of 5. It is assumed that the weights of the items from the first machine are normally distributed with mean (mu1) and variance (sigma^2) and that the weights of items from the second machine are normally distributed with mean (mu2) and variance 9sigma^2) (that is, the variances are assumed to be equal). Find a 99% confidence interval for mu1-mu2, the difference in population means when it is known in advance that the population variances are 4 and 5 respectively.
True mean chloride level of all healthy Washington residents. What is the lower limit of the 90% confidence interval? what is the upper limit of the 90% confidence interval?
(12,50), (6, 36), (20,60), (5,24), (38,70), (3,24), (8, 42), (20,65), (10, 40), (15, 60). Your best guess of the correlation coefficient between the two variables is?
a) Specify the null and alternate hypotheses for testing that the population correlation is negative. b) Calculate the estimate of the population correlation coefficient between X and Y.
A step by step solution is included to explain the concept of finding taylor series expansion of a given polynomial of degree 4 at a given ponit. The same concept can be applied to find the taylor series expansion of other polynomials and function..
Determine the percentage of samples of size 4 that will have the mean scores within 35 points of the population mean score of 280.
You are the production manager of a company. Parachutes are woven in your factory using a synthetic fiber purchased from one of four different suppliers. The most important outcome for parachutes is strength of the fabric.
Do these simulated data provide evidence for us to conclude that a difference in the spinal canal cross sectional area exist between the population of subjects with disc hernination and a population of those who do not have disc hernation?
Discuss the use of standard deviation. Explain how it might be useful to you in your research and how you would explain results using standard deviation.
What terms describe the fit of a regression equation to the data? What is the practical use of the regression equation in the real world? Explain with some examples.
WLD Incorporated, a national data-collection agency, estimates that 55% of all customers at home warehouse stores (in the United States) own their own home.
The standard deviation of the population weight losses is about 10 pounds. How large a sample should he take to estimate the mean weight loss to within 2 pounds, with 95% confidence?
At a 5% level of significance, is there enough evidence from this survey to conclude that more than half of all adults would rather have $100 than a day off?
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