It might be a LAN or Host network. I'm not sure about your question, but your answer might reside in your notes for this class.
Answer:
Assessing opportunity cost involves <u>making choices and dealing with consequences.</u>
Explanation:
Opportunity cost means that, the cost to gain something with some consequences. If there are multiple opportunities in front of you and you have to analyze or assess each opportunity. In this assessment you have to assess the consequences of all choices or opportunities. After assessing all the opportunities you will select the opportunity in which you have more gain and less consequences.
So we can say that, while assessing different opportunities, we have to make choices and dealing with consequences.
Answer:
The title attribute is used to provide the heading to the web page.
Explanation:
The title attributes provide the heading to a web page. It is part of the head tag together with meta tag.
<head>
<title>About Science</title>
</head>
We can get precise of a web page through the title itself. It can explain what exactly the content inside a web page. The title is good enough to give you the complete picture of the content within that page together with meta keywords. Also, it explains how that web page is going to be indexed.
Answer:
Two examples of processes for data collection are:
In-person interviewing: This is a face-to-face method or process of data collection. It has a high rate of response and allows you to ask follow-up questions when the response of the interviewee is not clear.
Sample Surveys: In this method, a sample is selected from a large population and then a questionnaire is constructed and sent to the sample for them to give their feedback or response in line with the research problem.
Three Key Principles considered in these processes to ensure data accuracy are:
Completeness: This means that what was expected to be collected as data was what was collected. Completeness of data is a vital factor for data quality.
Consistency: There must be uniformity in the data collection process. Everyone involved in the data collection process must understand what is required of them.
Accuracy: The data must be free of errors
Explanation:
