Q1- Provide one (1) example each of quantitative and qualitative data. Explain t
ID: 3735236 • Letter: Q
Question
Q1- Provide one (1) example each of quantitative and qualitative data. Explain the characteristics of how you can determine that one piece of data is quantitative and the other is qualitative.
Q2- From an IT perspective, do supply chain network design projects tend to be formal projects following the Software Development Lifecycle (SLDC) methodology OR iterative approach over a few months, with continued iterations to refine based on changing conditions. Briefly explain why supply chain projects follow the methodology you have selected.
Q3- Provide an example of Mixed Integer Programming (MIP). Explain why MIP is important to the modeling process.
Explanation / Answer
1)Anwer:
Quantitative data:
Quantitative data is information about quantities; that is, information that can be measured and written down with numbers.
examples of quantitative dataare your height, your shoe size, and the length of your fingernails.
Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails. Speaking of which, it might be time to call Guinness. You've got to be close to breaking the record
Qualitative data:
Qualitative data is information about qualities; information that can't actually be measured. Some examples of qualitative data are the softness of your skin, the grace with which you run, and the color of your eyes.
Qualitative data is information about qualities; information that can't actually be measured. Some examples of qualitative data are the softness of your skin, the grace with which you run, and the color of your eyes. However, try telling Photoshop you can't measure color with numbers.
Here's a quick look at the difference between qualitative and quantitative data.
Remember, if we're measuring a quantity, we're making a statement about quantitative data. If we're describing qualities, we're making a statement about qualitative data. Keep your L's and N's together and it shouldn't be too tough to keep straight.
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