Answer:
Explanation:
Trevor's team has positive leader-member relations
According to liquidity preference theory, there is a rightward shift in the money supply curve when the federal reserve decides to raise the money supply.
Option A is the correct answer.
<h3>What is a federal reserve?</h3>
The federal reserve is the central banking authority in America which was established in the year 1913 under the Federal Reserve Act.
When the federal reserves increase the money supply then the money supply curve moves in the right direction and when the federal reserve decreases the money supply then the money supply moves toward the left. This shows a direct relationship between the federal reserve and the money supply curve.
Therefore, there is a rise in money supply by the Federal reserve causing the money supply curve to shift in the right direction.
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Answer: See explanation
Explanation:
a. Debit: Raw material $12000
Credit: Account payable $11500
Credit: Material price variance $500
(To record material purchase)
b. Debit: Work in process 11600
Credit: Raw material 11200
Credit: Material price variance 400
(To record material issued)
Note:
Material price variance for (a)= 12000 - 11500 = 500
Work in progress = 5800 × 2 = 11600
Material price variance for (b) = 11600 - 11200 = 400
Text mining helps companies tap into the massive volume of customer opinions expressed online.
<h3>What is text mining?</h3>
Similar to text analytics, text mining is the technique of extracting high-quality information from text. It is also known as text data mining. It entails "the automatic extraction of information from several written sources to create new, previously unknown information by computer."
The process of converting unstructured text into a structured format with the purpose of identifying significant patterns and fresh insights is known as text mining, also known as text data mining.
Natural language processing is used automatically in text mining to glean insightful information from unstructured material. Text mining automates the process of categorizing texts by sentiment, topic, and intent by converting data into knowledge that computers can comprehend.
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