I believe the correct answer from the choices listed above is option C. It should be Nuttall that be filed directly after nigel. Other given options are filed before Nigel when alphabetical order is followed. Hope this answers the question. Have a nice day.
Answer:
Big data
Explanation:
Big data is defined as the methods of analysing and extracting meaningful insights from data that is so large that traditional data processing methods cannot be used to analyse.
Challenges encountered when analysing big data include data capture, data storage, data analysis, sharing, transfer, visualisation, querying, and updating.
ABC Medical Technology has accumulated so much client information that conventional database management systems cannot handle its customers' needs. It uses big data analysis to extract relevant information.
Answer:
A). Decrease the money supply so interest rates rise.
Explanation:
This could be explained simply because change in money supply results in changes in price levels and/or a change in supply of goods and services. An increase in money supply results in a decrease in the value of money because an increase in money supply causes a rise in inflation. As inflation rises, the purchasing power, or the value of money, decreases.
A change in interest rates is one way to make that correspondence happen. A fall in interest rates increases the amount of money people wish to hold, while a rise in interest rates decreases that amount. A change in prices is another way to make the money supply equal the amount demanded.
Answer:
Net worth is the measure of the wealth of an entity, person, or corporation, as well as sectors and countries. Simply, net worth is defined as the difference between assets and liabilities. It is an important metric to gauge a company's health and it provides a snapshot of the firm's current financial position.
<u>".30"</u> is one most likely to find between hours spent studying each week and cumulative gpa among college students.
The correlation coefficient is a statistical measure that figures the quality of the connection between the relative developments of the two factors. The scope of qualities for the relationship coefficient limited by 1.0 on a flat out esteem premise or between - 1.0 to 1.0. In the event that the relationship coefficient is more prominent than 1.0 or not exactly - 1.0, the connection estimation is inaccurate. A connection of - 1.0 demonstrates an immaculate negative correlation, while a connection of 1.0 demonstrates a flawless positive correlation. A connection of 0.0 shows zero or no connection between the development of the two factors.
