Answer:speculative investment
Explanation:
just took the test.
Answer:
The Answer is B. Quantitative data
Explanation:
The testing on the golf club, determined a improvement in the driving distance and this was measured numerically and showed in form of a percentage in comparison with average measurements.
When the information is presented with numerical data support, we can say its a quantitative data, because it tells us "how much?".
When the information is presented just with adjetives, telling us about the performance its a qualitative data, because it tell us "how things happened?"
A control variable is the data that is going to modified in order to see changes is the independent variable. In this case, the control variable could be the weight of the club (assumption), and the independent variable the driving distance data(not percentage).
Answer:
ERP systems use the same data as functional information systems.
Explanation:
At its most fundamental level, ERP software integrates these different capacities into one complete framework to streamline procedures and data over the whole organization. The focal element of all ERP frameworks is a shared database that supports multiple capacities utilized by various business units.
Answer:
Mary has increased her data literacy skills that now allow her to access, interpret, summarize, and communicate data more effectively.
Explanation:
Data analysis is the process by which data is transformed in such a way that useful information can be extracted from it. Data analysis is a key skill that is needed in most business nowadays, for example; financial data can be very crucial in the planning, budgeting and execution of projects. The process of data analysis has been automated to take raw data and produce a result that can be readily consumed easily by humans in the form of charts and graphs. From this end result, conclusions can be drawn by data experts on what the results mean.
Experts in data analysis are therefor needed to adequately access, interpret, summarize and communicate data more effectively. These are skills that need to be learned for better overall quality of the data presentation. In general, the principals are referred to as data literacy skills. Data literacy can be defined as the ability of an individual to extract useful information from raw data.
