A simple random sample of 5000 U.S.-based flights from September 2019 was taken from the Bureau of Transportation Statistics. The information given can be useful in analyzing on-time performance of different airlines and airports. The goal of this project is to use the data to ask relevant questions and apply our statistical tools to answer these questions. 1. For any statistical problem, it is key that we understand the context and type of data that are available. Here is a link to the sample data: Sample Dataset Link (from StatCrunch) that you will use for this project. Using the Description of Variables, create a table similar to the one below with each variable listed. Next to each variable, decide whether the variable is Categorical (Qualitative) Data or Quantitative (Numerical) Data. On your project, list each variable label, and state whether it is categorical or quantitative. Variable Type of Variable Day of Month Day of Week ... Throughout most of the course, questions have been posed to you, and it was your job to use Statistics to answer the question. For this project, there is a new twist to the problem. I have provided you with the dataset you will be analyzing, but it will be your job to think of a question that might be asked. 2. Using this dataset, explore one question of your own choice, but it must fit the following requirement: Choose two groups to compare (e.g. two airlines, two origin airports, etc.), and compare a proportion or mean of another variable to see if there is a difference using a hypothesis test. On your project, write the question you will explore, and state the statistical method that you will use to explore your question. 3. Perform the appropriate procedure that you indicated. On your project, write out the full five-step process for a hypothesis test that you used to arrive at your conclusion. 4. Using this dataset, explore one question of your own choice, but it must fit the following requirement: See if a linear relationship exists between two quantitative variables. On your project, write the question you will explore, and state the statistical method that you will use to explore your question. 5. Perform the appropriate procedure that you indicated. On your project, write out the full five-step process for a linear regression t-test for the slope that you used to arrive at your conclusion.