You are to analyze the 2019 and 2020 carbon monoxide levels monitored at the Mar

You are to analyze the 2019 and 2020 carbon monoxide levels monitored at the Martin Luther King station located in Wilmington, Delaware. You are to perform the required analysis and prepare a business report in American Psychological Association (APA) 7 professional paper format. The report must contain a title page, an abstract (which you will call an Executive Summary), a problem statement, a methods section, and a results section.
The carbon monoxide readings at the Martin Luther King station are recorded every hour. The data for this project was accessed from the Delaware Open Data website and downloaded into two Excel files. The first Excel file contains the 2019 carbon monoxide values and the second Excel file contains the 2020 carbon monoxide values.

A company manufactures light bulb and wants you to analyze the production of the

A company manufactures light bulb and wants you to analyze the production of the 100-watt light bulbs. Several social media posts indicate a potential problem with the durability of the light bulbs. You are asked to analyze the life of the bulbs to see if there is a potential problem that needs to be addressed.
The stakeholders for this project are the Vice President of Operations, the Production Manager from plant A and plant B, the Manager of Quality Assurance, and you (the data analyst).
The following information and questions were obtained during the ask phase of the data analysis process.
• The current company goals for the life of the 100-watt light bulbs is a mean of 1,000 hours and a standard deviation of 75 hours.
• Are the company goals being met for the 100-watt light bulbs produced at plant A?
• Are the company goals being met for the 100-watt light bulbs produced at plant B?
• Is the mean life of the 100-watt bulbs produced at the two plants equal?
The following information was obtained during the process and prepare phases of the data analysis process.
• The quality assurance department randomly selected forty 100-watt light bulbs from each of the two plants for testing.
• The quality assurance department measured the life of the 100-watt light bulbs selected in the samples and recorded the life of the bulb in hours and the plant where the bulb was made in an Excel spreadsheet.
• The quality assurance department validated the data recorded in the spreadsheet.
• The spreadsheet with the data was sent to the data analyst (you) so that they (you) can begin their (your) analysis.
The data analyst will:
• Calculate the mean and standard deviation for the life of 100-watt bulbs from each of the plants.
• Construct frequency distributions of the life of the 100-watt bulbs from each of the plants (use categories of 650 – 699, 700 – 749, 750 – 799, 800 – 849, 850 – 899, 900 – 949, 950 – 999, 1000 – 1049, 1050 – 1099, 1100 – 1149, 1150 – 1199, 1200 – 1249).
• Construct histograms of the life of the 100-watt bulbs from each of the plants.
• Prepare a final report that will be shared with all of the stakeholders.