Specialization increases the productivity of a nation's resources and allows for larger total output.
Answer:
committed the fallacy of avoiding the issue.
Explanation:
The fallacy of avoiding the issue is also called the fallacy of irelevant conclusion or a red herring.
It occurs when an individual avoids dealing with an issue that he has a problem with.
In the given scenario the issue is whether bluegrass is better than Alfa Alfa for cattle in the Midwest.
Instead of Juan to address the issue he is arguing that the U.S. Department of Agriculture is a bloated bureaucracy with too much fat that deserves to be cut in the next federal budget bill.
He is not addressing the main issue
Answer:
The answer is D) aggregation
Explanation:
An aggregate forecast addresses a company's capacity requirements
Answer:
Supervised and Unsupervised Learning:
a. Unsupervised learning
b. Supervised learning
3. Supervised learning
4. Unsupervised learning
Explanation:
The key difference between supervised machine learning and unsupervised machine learning is that with supervised machine learning there is a training dataset (labeled data) on which the algorithm is trained to predict patterns. With unsupervised machine learning on the other hand, there is no training data. So, the algorithm discovers patterns on itself without reference to another labeled data or training dataset.
Answer:
The journal entries are shown below:
Explanation:
According to the scenario, the journal entries for the given data are as follows:
(1). Jun.30 Bad Debt expense A/c Dr $12,800
To Allowance for Doubtful A/c $12,800
(Being the bad debt expense is recorded)
(2). July Allowance for Doubtful A/c Dr $6,400
To Accounts Receivable A/c $6,400
(Being the customer balance written off is recorded)
