In biofiltration of wastewater, air discharged from a treatment facility is passed through a damp porous membrane that causes contaminants to dissolve in water and be transformed into harmless...



Hello! I need answer for letter F only using Anderson-Darling test to support the normal distribution of the data.




In biofiltration of wastewater, air discharged from a treatment facility is passed through a damp porous membrane that causes contaminants to<br>dissolve in water and be transformed into harmless products. Air discharge usually contains hydrogen sulfide, organic sulfides, and other volatile<br>organic compounds (VOCS).<br>For this experiment, it is desired to investigate the relationship between air inlet temperature and removal efficiency of porous membrane. The<br>accompanying data on x = inlet temperature (°C) and y = removal efficiency (%) is shown below.<br>Removal<br>Removal<br>Observation Temp<br>Observation Temp<br>%<br>%<br>1<br>7.68<br>98.09<br>17<br>8.55<br>98.27<br>6.51<br>98.25<br>18<br>7.59<br>98<br>3<br>6.49<br>97.82<br>19<br>6.94<br>98.09<br>4<br>5.48<br>97.82<br>20<br>8.31<br>98.25<br>5<br>6.57<br>97.82<br>21<br>10.5<br>98.41<br>10.13<br>97.93<br>22<br>16.02 98.51<br>7<br>15.71<br>98.38<br>23<br>17.83 98.71<br>8<br>16.77 98.89<br>24<br>17.03 98.79<br>9.<br>17.13<br>98.96<br>25<br>16.18 98.87<br>10<br>17.63<br>98.9<br>26<br>16.31<br>98.76<br>11<br>16.72 98.68<br>27<br>14.44 98.58<br>12<br>15.45 98.69<br>28<br>12.78 98.73<br>13<br>12.21<br>98.51<br>29<br>12.25 98.45<br>14<br>11.44 98.09<br>30<br>11.64 98.37<br>15<br>10.17<br>98.25<br>31<br>11.34 98.36<br>16<br>9.64<br>98.36<br>32<br>10.97 98.45<br>Using the data in Experiment 1, determine if there is sufficient evidence that inlet temperature could improve the removal efficiency of the<br>membrane.<br>a. How does the inlet temperature affect the removal rate?<br>b. How strong is the relationship you concluded in 1a?<br>c. How significant is the relationship in 1a?<br>d. To a certain degree, can you estimate the expected removal rate with inlet temperature? Demonstrate this using an example. What is the<br>typical deviation from the estimate?<br>e. Using residual analysis, verify that your conclusion in 1a-1c and your estimate in 1d are valid.<br>f. support your residual analysis in 1e by checking the normality of the errors in estimates.<br>

Extracted text: In biofiltration of wastewater, air discharged from a treatment facility is passed through a damp porous membrane that causes contaminants to dissolve in water and be transformed into harmless products. Air discharge usually contains hydrogen sulfide, organic sulfides, and other volatile organic compounds (VOCS). For this experiment, it is desired to investigate the relationship between air inlet temperature and removal efficiency of porous membrane. The accompanying data on x = inlet temperature (°C) and y = removal efficiency (%) is shown below. Removal Removal Observation Temp Observation Temp % % 1 7.68 98.09 17 8.55 98.27 6.51 98.25 18 7.59 98 3 6.49 97.82 19 6.94 98.09 4 5.48 97.82 20 8.31 98.25 5 6.57 97.82 21 10.5 98.41 10.13 97.93 22 16.02 98.51 7 15.71 98.38 23 17.83 98.71 8 16.77 98.89 24 17.03 98.79 9. 17.13 98.96 25 16.18 98.87 10 17.63 98.9 26 16.31 98.76 11 16.72 98.68 27 14.44 98.58 12 15.45 98.69 28 12.78 98.73 13 12.21 98.51 29 12.25 98.45 14 11.44 98.09 30 11.64 98.37 15 10.17 98.25 31 11.34 98.36 16 9.64 98.36 32 10.97 98.45 Using the data in Experiment 1, determine if there is sufficient evidence that inlet temperature could improve the removal efficiency of the membrane. a. How does the inlet temperature affect the removal rate? b. How strong is the relationship you concluded in 1a? c. How significant is the relationship in 1a? d. To a certain degree, can you estimate the expected removal rate with inlet temperature? Demonstrate this using an example. What is the typical deviation from the estimate? e. Using residual analysis, verify that your conclusion in 1a-1c and your estimate in 1d are valid. f. support your residual analysis in 1e by checking the normality of the errors in estimates.
Jun 11, 2022
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