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171 172 Question 4.3 - Correct the process_temperature data by removing 45dego % from all the temperature values that occur on or after the time

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171 172 Question 4.3 - Correct the process_temperature data by removing 45dego % from all the temperature values that occur on or after the time the process error occurs as found in question 4.2. Set it to a variable correct_temperature. $ [2 marks] 173 correct_temperature 174 175 176 177 178 179 180 181 4 Question 4.4 - The process material used in the process has a specific 4 heat capacity of 1800 J/kgdege and has a mass of 2.4kg. Find the mean & ambient temperature and then calculate the energy required to increase the material from the mean ambient temperature to the peak corrected process temperature in kJ. Set as a variable thermal energy, rounded to nearest I * Joule and then convert to kJ. Note: thermal energy - masas specific heat capacity temperature change [2 marks] 182 183 184 185 186 $ Question 4.2 There is an error noted in the process temperature measurements. % At one point in the data there is an unexpected jump in the % temperature reading of over 45deg between one of the samples and the next. & Using a loop and logie, determine the time at which the orroneous Increase $ in temperature data occurs, set the value to a variable templerror_time. [3 marks for i in df.index: if process_temprature [1]>45: temp_error_time-process time[i] print("erroneous time: ", temp_error_time) G. O Delimited Comma Fixed Width Delimiter Options DELIMITERS Range: A2:05. Variable Names Row: 1 SELECTION process_temperature_data.csv 7 A B G processtemperaturedata Timesec AmbientTe... Process Te... Number Number Number 1 Time (sec) Ambient Te... Process Te... 20 22.14 22.34 3 0.2 22.11 22.31 4 10.4 22.16 22.36 5 0.6 22.28 22.48 6 0.8 22.37 22.57 1 22.44 22.64 8 1.2 22.30 22.50 9 11.4 22.49 22.69 10 1.6 22.36 22.56 11 1.8 22.48 22.68 122 22.38 22.58 13 2.2 22.40 22.60 1424 22.34 22.54 15 2.6 22.34 22.54 16 2.8 22.18 22.38 17 3 22.06 22.26 18. 3.2 22.04 22.24 19 3.4 22.04 22.24 20 3.6 21.98 22.18 21 3.8 21.93 22.13 171 172 Question 4.3 - Correct the process_temperature data by removing 45dego % from all the temperature values that occur on or after the time the process error occurs as found in question 4.2. Set it to a variable correct_temperature. $ [2 marks] 173 correct_temperature 174 175 176 177 178 179 180 181 4 Question 4.4 - The process material used in the process has a specific 4 heat capacity of 1800 J/kgdege and has a mass of 2.4kg. Find the mean & ambient temperature and then calculate the energy required to increase the material from the mean ambient temperature to the peak corrected process temperature in kJ. Set as a variable thermal energy, rounded to nearest I * Joule and then convert to kJ. Note: thermal energy - masas specific heat capacity temperature change [2 marks] 182 183 184 185 186 $ Question 4.2 There is an error noted in the process temperature measurements. % At one point in the data there is an unexpected jump in the % temperature reading of over 45deg between one of the samples and the next. & Using a loop and logie, determine the time at which the orroneous Increase $ in temperature data occurs, set the value to a variable templerror_time. [3 marks for i in df.index: if process_temprature [1]>45: temp_error_time-process time[i] print("erroneous time: ", temp_error_time) G. O Delimited Comma Fixed Width Delimiter Options DELIMITERS Range: A2:05. Variable Names Row: 1 SELECTION process_temperature_data.csv 7 A B G processtemperaturedata Timesec AmbientTe... Process Te... Number Number Number 1 Time (sec) Ambient Te... Process Te... 20 22.14 22.34 3 0.2 22.11 22.31 4 10.4 22.16 22.36 5 0.6 22.28 22.48 6 0.8 22.37 22.57 1 22.44 22.64 8 1.2 22.30 22.50 9 11.4 22.49 22.69 10 1.6 22.36 22.56 11 1.8 22.48 22.68 122 22.38 22.58 13 2.2 22.40 22.60 1424 22.34 22.54 15 2.6 22.34 22.54 16 2.8 22.18 22.38 17 3 22.06 22.26 18. 3.2 22.04 22.24 19 3.4 22.04 22.24 20 3.6 21.98 22.18 21 3.8 21.93 22.13

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