<u>Explanation:</u>
The term IoT is an acronym for 'Internet of Things' which refers to a modern technology that allows certain physical objects or “things” as we may call it to connect to the internet.
While Big Data refers not just to large data, but to an innovative field of technology that specializes in analyzing very large (big) data sets.
Consider the education industry, by means of IoT, it is possible for school management to effectively track their student's academic progress in real-time.
IoT and Big Data connected in the sense that, as these physical things (objects) communicate over the internet, a mass amount of data ("Big Data") is been generated which could then be analyzed using specialized software. In other words, they are mutually beneficial.
The Long-Run Aggregate Supply curve represents the full employment capacity of the economy and depends on the amount of resources available for production and the available technology.
<h3>What is Long-Run Aggregate Supply Curve?</h3>
The Long-Run Aggregate Supply (LRAS) Curve depicts the relationship between price level and real GDP that would exist if all prices, including nominal wages, were completely flexible. Along the LRAS, prices can move, but production cannot since it represents the output of full employment.
To learn more about LRAS visit:
brainly.com/question/27064601
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Answer:
<h2>
Secondary data</h2>
Explanation:
The data collected form the first hand sources by using interviews and surveys is called primary data. The secondary data is gathered from surveys and studies which have already been conducted by other people. Mostly researchers use secondary data in their project as the researcher doesn't have to spend time, energy and money in collecting them. They can devote their time to research instead of worrying about gathering data.
