Another chemical engineer is studying the same process as in Exercise 7, and uses thefollowing experimental matrix.Temperature (C) Stirring Rate (ipm)Yield (%)1103070.2774.9577.9111040110501106082.6973.4373.1412130121401215078.271216074.891323069.071324070.831325079.181326078.101433073.711434077.7074.3180.991435014360Compute the corelation between temperature and yield, between stiring rate andyield, and between temperature and stiring rate.Do these data provide good evidence that the yield is unaffected by temperature, withinthe range of the data? Or might the result be due to confounding? Explain.Do these data provide good evidence that increasing the stiring rate causes the yield toincrease, within the range of the data? Or might the result be due to confounding?Explain.Б.C.d. Which experimental design is better, this one or the one in Exercise 7? Explain.

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Answered: Another chemical engineer is studying…

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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Prof. Reed is interested in studying the determinants of fertility. She believes that women who report that they would like to have a higher number of children will actually have a higher fertility than women with low fertility ideals. The results from her analysis are based on the 2002 GSS. Calculate how much a woman's ideal fertility contributes to predict the variance of her actual number of children? Std. Mean Deviation Number of children 1.65 1.451 Ideal number of children 2.95 1.805 Pearson's r .144 Number of cases 211
A scientist wants to develop a model to describe the relationship between the average daily temperature, x °C, and her household’s daily energy consumption, y kWh, in winter. A random sample of the average daily temperature and her household’s daily energy consumption are taken from 10 winter days and shown in the table. x -0.4 -0.2 0.3 0.8 1.1 1.4 1.8 2.1 2.5 2.6 y 28 30 26 25 26 27 26 24 22 21 You may use: Sy=255 Sxy=283.8 Syy= 64.5 Find a value for the product moment correlation coefficient r for this data Explain what the value of the product moment corelation tells you about the relationship between daily temperature and the household energy consumption.
A solar panel store manager suspects that his inventory levels of solar panels have been higher than necessary. Based on the record of the number of solar panels held in inventory each day during the last sixty days, the manager came up with the following distribution. # of Solar Panels Frequency 15 15 16 14 17 10 18 19 20 The demand for the solar panels follows a normal distribution with u=17 and 6=2. Based on this information, 1. Develop a Monte Carlo Simulation model on MS Excel of this situation (send me a copy of tie model.) 2. Based on one thousand iterations, should the manager change the inventory policy for the solar panels? (answer in the available space below.)
Consider the average family income and annual savings of nine families shown below. Test the significance of your computed correlation coefficient at a=0.05. * Annual Income (in P10,000) (X) 41 44 47 50 53 56 59 61 64 56 59 Annual Savings (in P10,000) (Y) 3. 4 7. 7 8. 9. 10 9. 8 7.
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Table #10.1.6 contains the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Find the correlation coefficient of determination and then interpret both Table #10.1.6: Data of House Value versus Rental Value Rental Value Rental Value Rental Rental Value 67500 81000 6656 77000 4576 75000 7280 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9152 7488 9568 140000 135000 7488 165000 13312 165000 8528 155000 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 匯 190000 200000 225000 8320 12272 8528 200000 200000 10608 194000 11232 8320 10400 11648 10192 12272 10400 200000 240000 214000 208000 240000 10192 240000 12064 12480 244500 11232 12896 12480 289000 11648 270000 262000 325000 12480 310000 303000 300000 12480
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The table below shows the lower back pain intensity scores for eight patients before and after receiving acupuncture for eight weeks. At a = 0.025, complete parts (a) through (e) to determine if there is enough evidence to conclude that the lower back pain intensity scores decreased after the acupuncture. Patient 1 2 3 4 5 7 8 Intensity score (before) Intensity score (after) 60.5 69.1 56.2 67.7 62.7 77.5 57.8 78.7 49.7 63.5 22.7 25.9 65.1 19.4 65.2 48.4 .... (a) Write the claim and identify Ho and Ha Which is the correct claim? O A. The lower back pain intensity scores have not decreased. O B. The lower back pain intensity scores increased. OC. The lower back pain intensity scores have not increased. O D. The lower back pain intensity scores decreased. Identify Ho and H, below. Họ is the lower back pain intensity scores Ha is the lower back pain intensity scores (b) Determine the critical value. The critical value is. (Type an integer or decimal rounded to the nearest hundredth as…
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