The K-ABC is different from the wechsler test and stanford-binet because it was designed to measure several distinct aspects of intelligence. The K-ABC test is just designed to measure several distinct aspects of intelligence of human or students who are taking the test. So the answer in this question is, it was designed to measure several distinct aspects of intelligence.
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:
D
Explanation:
Sales mix is a ratio of products sold. In this case, sales by golf ball type as a percentage of total sales is the sales mix as it shows the ratio of product sold.
Answer: Esther does not recognize any gain or loss on the distribution and her remaining basis in EE is $15,000
Explanation:
Base on the scenario been described in the question, repayment of liabilities is treated as a cash distribution. Esther's share of the debt reduction is Since this amount is lower than her outside basis ($40,000) she does not recognize a gain or loss.reduces her outside basis by the $25,000, which leaves her $15,000 of outside basis in EE afterthe debt repayment.
