Ch 1

Chapter 1 Based on chapter 1, question 63 A sample of 77 individuals working at a particular office was selected and the noise level (dBA) experienced by each individual was determined, yielding the following data ('Acceptable Noise Levels for Construction Site Offices," Building Serv. Engr. Research and Technology, 2009: 87-94). Use python to organize, summarize, and describe the data. Steps 1) use pandas create to create a dataFrame using read csv the csv file is'data/Chaper1.csv Column header is 'noise' 2) Display the descriptive statistics for the sample 'noise print out at a minimum: count, mean, std, min, median, and max 3) Display Histogram of the noise levels 4) Is this data positive or negative skewed? print('positive Skew'); or print('negative Skew'); Chapter 1 Based on chapter 1, question 63 A sample of 77 individuals working at a particular office was selected and the noise level (dBA) experienced by each individual was determined, yielding the following data ('Acceptable Noise Levels for Construction Site Offices," Building Serv. Engr. Research and Technology, 2009: 87-94). Use python to organize, summarize, and describe the data. Steps 1) use pandas create to create a dataFrame using read csv the csv file is'data/Chaper1.csv Column header is 'noise' 2) Display the descriptive statistics for the sample 'noise print out at a minimum: count, mean, std, min, median, and max 3) Display Histogram of the noise levels 4) Is this data positive or negative skewed? print('positive Skew'); or print('negative Skew')