Answer:
Following are the response to the given question:
Explanation:
Investing price falls as companies become increasingly negative about investment. Lowering prices for capital will shift the expenditure curve. When total expenditures drop, the IS curve moves to the left. It will lead to a decline in productivity and interest rates in the context of the IS-LM model. Next, consider how the current account will operate (which is the trade balance of the nation). This is what we're seeing as just a paradigm for just a real balance of currency fluctuations. The S-I line swings from S-I1 to S-I2 as expenditures decline from I1 to I2. The currency rate is down and private consumption has risen. Its idea is that even the currency is little valuable as exchange rates decline. Exports to the rest of the world are thus cheaper. Foreign exchange is appreciated as well as the domestic market needs costlier goods. Exports will therefore decrease. Export growth and import reductions are going to improve the trade balance. It will boost the bank account.
Answer:
The cell phone manufacturers (Apple, Google, and BlackBerry) want to track where their customers go because they collect this data for advertising and marketing purposes. ... It does so by connecting to a cellular network provided by a mobile phone operator, allowing access to the public telephone network.
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Explanation:
Answer:
The data-mining technique that creates a report or visual representation is summarization.
Explanation:
The business world has changed drastically over the years in terms of marketing and service delivery because of growth in technology. The use of machines and internet has caused a greater need for access and analysis of information in such a way that can make a business thrive in the market. This means that most businesses have to look into better data-mining techniques that can assist them in the competitive business environment.
The different data mining techniques include; association-rule learning, classification, summarization and regression. They are explained further as follows:
1. Association-rule learning: this is a machine learning technique that discovers a relationship between large databases using the concept of strong rules.
2. Classification: this technique finds similarities in features of two or more data sets and groups them into the same category.
3. Regression: this is a predictive technique that is used to identify and analyse the likelihood of a specific variable.
4. Summarization: this technique takes the results from the data and puts it in a way that it is short and understandable by most people. It usually involves the use of tables and other data summarization software like Excel sheets to represent the data in a way that conclusions can easily be drawn. Data summarization is important especially in the digital world where large amounts of data are available for analysis and transfer. This technique helps in breaking down huge data into short comprehensible reports that can easily be used for quick decision making.
Total= $159,552
Giving the following information:
The company has budgeted to sell 15,600 Debs in February.
Sales commissions $ 0.96*15,600= 14,976
Shipping $ 1.46 *15,600= 22,776
Executive salaries $ 60,600
Depreciation on office equipment $ 20,600
Other $ 40,600
Total= $159,552
fifo uses the oldest cost for cost of goods sold on the income statement and the newest cost for inventory on the balance sheet.
FIFO is an inventory accounting system that means first in, first out. This means that the first goods that are bought are the first that are assumed to be sold and the newest goods are assumed to remain in inventory.
For example, if you purchase 1 unit of a good at $3 on 1/3/21 and a second unit of the good at $5 on 31/03/21. Only one unit of the good is sold If the FIFO method is used, the cost of good sold would be $3 and the ending inventory would be $5.
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