Suppose normally distributed weight measurements (in ounces) for 60 randomly se-lected major league baseballs were:5.09 5.08 5.215.17 5.07 5.24 5.12 5.16 5.18 5.195.26 5.10 5.28 5.29 5.27 5.09 5.245.265.17 5.135.27 5.26 5.17 5.19 5.28 5.28 5.18 5.27 5.25 5.265.265.18 5.13 5.08 5.25 5.17 5.09 5.16 5.245.275.28 5.24 5.23 5.23 5.27 5.22 5.26 5.275.24 5.275.255.28 5.24 5.26 5.24 5.24 5.27 5.26 5.22 5.09Some calculations include: , X; = 312.7; , X? = 1629.9396.(a) Find a 99% confidence interval for the mean weight of major league baseballs.(b) Derive a 99% confidence interval for the standard deviation of the weight ofmajor league baseballs.

Solution: Given information: n= 60 Sample size…

Answered: Suppose normally distributed weight…

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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In an experiment to determine whether there is a systematic difference between the weights obtained with two different scales, 10 rock specimens were weighed, in grams, on each scale. The following data were obtained: Specimen Weight on Scale 1 Weight on Scale 2 1 12.13 12.85 2 15.51 17.29 3 9.83 9.52 4 12.39 11.30 5 27.64 23.88 6 10.80 9.35 7 15.89 13.79 8 6.99 6.98 9 13.39 13.45 10 21.90 20.9 Send data to Excel Let μ1 represent the mean weight on Scale 1 and =μd−μ1μ2 .Can you conclude that the the mean weight on Scale 1 is greater than the mean weight on Scale 2? Use the =α0.01 level of significance and the TI-84 Plus calculator to answer the following. p value do we reject is there enough evidenc e
i. The separate ratio estimate of the population mean using the following information is: Stratum Nį Hxi 1 7.8 4.6 250 5.8 18.7 17.8 400 16.5 3 13.4 15.3 350 10.3 A. 14.25 В. 17.22 С. 12.55 D. 13.76 E. None of these
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A farm grows normally distributed potatoes and is testing a new crop. After 4 months, 20 plants produce potatoes with the following weights (in kg):7, 1.4, 1.4, 1.3, 0.3, 1.4, 0.6, 1.3, 1.3, 1.1, 0.9, 1.5, 1.1, 1.5, 0.6, 1.4, 1.1, 0.5, 0.6, 0.8 a) Find out the mean and standard deviation of the sample.
1. The 50 measurements of acid rain in Wisconsin, whose histogram is given on the cover page of the chapter, are 3.58 3.80 4.01 4.01 4.05 4.05 4.12 4.18 4.20 4.21 4.27 4.28 4.30 4.32 4.33 4.35 4.35 4.41 4.42 4.45 4.45 4.50 4.50 4.50 4.50 4.51 4.52 4.52 4.52 4.57 4.58 4.60 4.61 4.61 4.62 4.62 4.65 4.70 4.70 4.70 4.70 4.72 4.78 4.78 4.80 5.07 5.20 5.26 5.41 5.48 a. Calculate the median and quartiles. b. Find the 90th percentile. c. Determine the mean and standard deviation.
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An article gives the price-an estimated average for a 6-ounce can or a 7.06-ounce pouch-for 14 different brands of water- packed light tuna, based on prices paid nationally in supermarkets. 1.00 1.91 1.23 0.87 0.67 0.53 1.41 1.12 0.61 0.66 0.70 0.61 0.60 0.68 (a) Find the average price for the 14 different brands of tuna. (Round your answer to two decimal places.) $ (b) Find the median price for the 14 different brands of tuna. $ (c) Based on your findings in parts (a) and (b), do you think that the distribution of prices is skewed? Explain. More information is needed to determine skewness. O Since the mean is larger than the median, the distribution is skewed to the right. O Since the median is larger than the mean, the distribution is skewed to the left. O Since the mean and median are equal, the distribution is not skewed.

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