3. Construct a horizontal bar graph on the data on common types of pre-treatment used forhospital wastes given below.Types of pre-treatment PercentageChemical disinfectants64.9Autoclave22.1Delay to decay13.019

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Answered: Construct a horizontal bar graph on the…

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 following are the weight (in grams) and quantity of volatile emissions (in hundreds of nanograms) for plants. A scatterplot of the data is given to the right. Weight (x) 58 83 57 65 Ay 30- 20- 54 66 60 80 78 52 D 10 X. Quantity (y) 8.5 21.0 10.5 22.0 12.5 11.5 8.0 13.5 16.5 21.0 40 60 80 100 a. Obtain the linear correlation coefficient. b. Interpret the value of r in terms of the linear relationship between the two variables. c. Discuss the graphical interpretation of the value of r. d. Obtain the value of the coefficient of determination by squaring r. a.r3D (Round to three decimal places as needed.) 曲

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60 00 R The following data represent the concentration of dissolved organic carbon (mg/L) collected from 20 samples of organic soil. Assume that the population is normally distributed. Complete parts (a) through (c) on the right. 16.87 29.80 27.10 16.51 8.81 22.49 20.46 33.67 30.91 14.86 5.20 15.35 9.72 19.80 14.86 7.40 18.30 (a) Find the sample mean. The sample mean is. (Round to two decimal places as needed.) Enter your answer in the answer box and then click Check Answer. 2 parts remaining Clear All Check Answer 2. e Type here to search 直。 F1 F2 PrtScn F3 F4 (口 F5 # & 7. 2. 3. 4. 5. Alt
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Hypothesis Testing (One-Sample) Sample Size Sample Mean Population Std Dev (Given in the problem) Hypothesized Value Level of significance Standard Error Test Statistic p-value (lower-tail) p-value (upper-tail) p-value (two-tail) Critical Value (lower-tail) Critical Value upper-tail) Critical Value (two-tail) Use absolute value if test stat is positive N Dist (Summary Statistic) 50 297.6 12 295 0.05 1.697056275 1.532064693 0.937246764 0.062753236 0.125506471 Numbers in this column are examples from the slides -1.644853627 1.644853627 -1.959963985 N Dist (Raw Data) 8 6.25 2.915475947 6 0.05 1.030776406 0.242535625 0.595817422 0.404182578 0.808365156 -1.644853627 1.644853627 -1.959963985 NewBalance 1 5 6 7 8 4 9 10
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The following are the weight (in grams) and quantity of volatile emissions (in hundreds of nanograms) for plants. A scatterplot of the data is given to the right. Weight (x) 57 87 56 63 54 66 63 79 77 52 Quantity (y) 9.0 21.5 10.0 22.5 12.5 11.5 7.5 13.5 16.5 22.0 30- Y 6 9 20+ 10- 0+ 40 60 80 100 a. Obtain the linear correlation coefficient. b. Interpret the value of r in terms of the linear relationship between the two variables. c. Discuss the graphical interpretation of the value of r. d. Obtain the value of the coefficient of determination by squaring r. Q
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Construct a horizontal bar graph on the data on common types of pre-treatment used for hospital wastes given below. Types of pre-treatment Percentage Chemical disinfectants 64.9 Autoclave 22.1 Delay to decay 13.0 19