Reference no: EM133171741

Can you rephrase the following paragraphs

Envision

The term quantitative data refers to data that is presented numerically. As stated in the course materials, "Quantitative data employs numerical data consisting of values or counts and expressed as numbers. How many, how much, or how often are just few examples of the many different ways numbers and quantitative data may be expressed. (Rasmussen,2021) Spreadsheets are the most common file type used to store the data. Inches, feet, yards, miles, and so on are all units of measurement that can be found in the data. The data must be transformed to a standard before it can be used for display if it contains multiple units of measurement. The survey's quantitative conclusions were based on the responses to each question, which were counted as part of the data.

Qualitative data is characterized by the use of quality in its definition. The training materials state, Qualitative data measures numerous categories and are expressed by names, symbols or some numerical code. Types of categorical variables can be found in qualitative data. Qualitative data refers to any information that cannot be quantified or is only an approximation of the real thing. Data such as gender, economic position, and personal preferences have a nominal value and are qualitative data, respectively. A through E is a list of all the questions that were asked in sequence in the qualitative survey. Aside from that, qualitative was the surveys designated status.

The production should be done at the regions where the annual weekly wages are lowest. For the industrial manufacturing purpose the best region is Preble County of

Ohio. For rail transportation, the best region is Minnesota. For power generation, Region Lake and Peninsula of Alaska are the most efficient and Puerto Rico should be the most viable region for production due to low costs.

Qualitative Data Unavailable:

Some sort of qualitative data was available in Envision survey results. Good qualitative data that would show any good relationship between variables is not available in the datasets.

However, more qualitative data must have been there which can further help in selecting the area for production. There are many null values in the data because in those areas the production was null.