If the A.P.R. for a specific card is set at 9.99% - 23.99%, it shows the range of the A.P.R bank is offering for the card. It means the A.P.R. can be any % between 9.99% and 23.99%. The A.P.R. is decided on the basis for the credibility of the borrower. The credit score of the borrower is the factor to determine the credibility of the borrower. Hence the A.P.R of the card is determined on the basis of the credit score of the borrower.
Hence, the correct answer is:
b. One of the primary factors determining your card's A.P.R. is your credit score
Answer:
Standard rate per direct labor hour is $27.1
Explanation:
Standard rate per direct labor hour includes the hourly pay rate, Payroll taxes and fringe benefits. For Theresa Corporation,
We have given that
Basic direct labor rate is $21.00 per hour
Payroll Taxes is 10% of basic direct labor rate i.e. 10% of $21.00 = $2.10 per hour
Fringe Benefits is $4.00 per hour.
So Standard rate per direct labor hour = $21.00 + $2.10 + $4.00 = $27.1
Answer: sentiment analysis software
Explanation: The Content is produced through social networks, through Web forms, through mobile applications. Content is created by your customers, your market, by thought leaders, employees, and other enterprises. They are sharing opinions, ideas, comments, requesting information, expressing concerns, discussing technologies and products and influencing. Valuable information is trending within those conversations, threads, and post .Uncovering and translating social data into tangible insights has become one of the key challenges for Sentiment Analysis technology providers wanting to propose a real social mining solution to their users. The sentiment analysis software is a specialized classification engine used to identify and evaluate subjective patterns and expressions of sentiment within textual content. The analysis is performed at the topic, sentence, and document level and is configured to recognize whether portions of text are factual or subjective and, in the latter case, if the opinion expressed within these pieces of content are positive, negative, mixed, or neutral. The combination of machine learning with natural language processing techniques, the sentiment analysis is one of the most powerful engines available .
The answer & explanation for this question is given in the attachment below.
