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Answer each of the following questions in Q&A format. Minimum 100 words each.

Date Posted: 06/04/2019
Category: Business
Due Date: 06/04/2019
Instruction
1.What are some differences between discrete and continuous data? Is the measurement of money continuous or discrete? Explain. Can you analyze discrete data using a normal distribution? Why or why not? 2. Respond to the following: There are many differences between discrete and continuous data. Discrete data can only be a specific set of data counts. While continuous data can be any value at all. The measurement of money is discrete because it changes in steps of certain amounts per dollar. While it can also be continuous in some instances like in certain decimal places. It all decides whether or not you are using multiples or decimal places with money. You cannot analyze discrete data using normal distribution in many cases. There are a few that you can like when it has to do with Poison distribution. 3. Discrete data is data that can only display specific values; such as numeric data and or categorical data. Discrete numeric data is best described as counting items, such as how many students are in the class or categorical data such as how many students were wearing white tennis shoes or not wearing tennis shoes. Continuous data occupies a value over a ongoing range and is not restrictive to the data it represents, therefore continuous data is often times considered to be numeric. Continuous data does not have any gaps or unassumed values which means that the data is gathered by items that are measured rather than items that are being counted. The main difference between discrete data and continuous data is that discrete data is counted and continuous data are items that measured rather than counted. The measure of money can be considered both discrete or continuous data. The determining factor of whether money is going to fall under the discrete or continuous data categories is how the money is being used; if the money is being counted then it would fall under the discrete data category because it is holding a numeric value and is being counted. When money is being measured in a comparative manner then it is considered continuous data. 4.Describe the properties of a normal distribution. Explain why there are an infinite number of normal distributions. Why do you want to assume that your sample data represent a population distribution? 5. Summarize the above.
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