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can you help please. thank you This question covers aspects and integration of personal development planning and data analysis skills towards professional engineering competencies for

can you help please. thank you

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This question covers aspects and integration of personal development planning and data analysis skills towards professional engineering competencies for employability. Consider the data set shown in Table 1, which records how the levels of car pollutants in an urban street changed over two different days of 2019. Specically, the data records the amount of nitrogen-dioxide (N02) in the air at Mic-hourly time intervals, as well as the air temperature at those times. Table 1 Changing levels of car pollutants and temperature over two different days Date Tlme Amount of N02 [pg m5) Temperature (\"0] Date A 05:00 9.09 0.4 Date B 05:00 11.27 14.5 Date A 07:00 25.83 0.0 Date B 07:00 36.14 15.5 Dale A 09:00 45.33 0.4 Date B 09:00 45.66 22.2 DateA 11:00 37.75 1.6 Date B 11:00 53.82 23.9 DaleA 13:00 42.51 3.2 Date B 13:00 51.77 23.9 Date A 15:00 40.05 3.2 Date B 15:00 62.37 24.3 Date A 17:00 68.60 0.8 Date B 17:00 66.01 23.5 Date A 19:00 73.45 70.8 Date B 19:00 55.10 23.0 DateA 21:00 60.91 2.8 Date B 21 :00 43.74 20.4 Date A 23:00 58.08 3.2 Date B 23:00 37.47 19.1 Sources: https:waw.cambridge.gov.ukfair-poilution-Ievels-and-monitoring-them https:ftwwwcl.cam.ac.uklresearcntdtgfweatherlindex-dai |y-text.htm| a. How would you classify the type of data in each column of Table 1? b. Describe what you could deduce about the data in Table 1, if you were to plot it using the following representations: i. Box and whisker ii. Scatter diagram c. Imagine that you have been invited to ajob interview where you will be asked to give a presentation to a non-expert audience. In advance of the interview you are sent the data in Table 1. i. By use of appropriate representation identify and show three signicant correlations or trends in the data, and suggest reasons for these trends. Include your representation as part of your answer, together with descriptions of the three correlations or trends you have identied. ii. Comment on the reliability of your observations of the trends in the data

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