Please respond to each statement minimum 75 words each in Q&A format. Due in 6 hours

1.Money can be both continuous and discrete. An example of money being continuous is that employee A made $200 while employee B made $5000. When you add a time to the monetary number, the continuous data is formed. For example, looking at the numbers currently listed, it seems that employee B makes more money. If the time is added, that changes. Employee A makes $200 per hour while employee B makes $5000 per month. Now it seems that employee A makes more at $6400 per month when calculated. A discrete example of money is if person A has $5000 and person B has $10000 in the bank, then person B has the most money in the bank. Adding a time factor to this scenario will not affect the outcome, in theory. 2.What are some differences between discrete and continuous data? Discrete data consist of counting numbers and continuous data is measuring numbers. The discrete data is countable and has no numbers in between and is not measured. Some examples of discrete are shoe sizes, number of students in a class, number of home games a basketball may have, or how many wings you may order from Buffalo Wild Wings. The continuous data always has numbers in between and is infinite. Some example of continuous data are the amount of time is given to take an exam, the amount of snow from this past year in inches, the speed of a car, how long it takes to travel from one location to the next, or how long it takes to sell a product. Discrete and continuous data are both valuable data and have their own use. The discrete data can help an athletic director decided how many games are scheduled for away games and home games. This can help but determining the total games and to make traveling plans for the teams. The continuous data is very helpful for truckers who drive across the country delivering product. Each company requires their product to be delivered by a certain time and the trucks need to know and be able to estimate how long it will take to drive from one location to their destination to get the product there on time. 3.According to Black (2017), normal distribution is a most widely used distributions that fits many human characteristics, such as height, weight, length, speed, IQ, scholastic achievement, and years of life expectancy, among others. Like their human counterparts, living things in nature, such as trees, animals, insects, and others, have many characteristics that are normally distributed. (Black 172). Businesses and industries can also use normal distribution in their production of items produced and filled machines. Many businesses that uses machines to produce and fills orders are normally distributed. Many companies such as automobile manufacturers and manufacturing plants and factories used machines to help with the manufacturing of a product or service which make them normally distributed. Reading chapter six have really opened my eye about every day activities that occur in my daily life that can be normally distributed.