Answer:
Debit Supplies $8,900; Credit Cash $8,900
Explanation:
Based on the information given the general journal entries that Specter Consulting will make to record this transaction assuming the companyâs policy is to initially record prepaid and unearned items in balance sheet accounts will be :
Debit Supplies $8,900
Credit Cash $8,900
Harmon would consider the number of competitors, entry barriers, and product substitutes.
Explanation:
The planned movement of a company into new markets, the development of new product lines, the use of more effective marketing techniques or other methods that make the business more voluminous from a niche market.
Total market opportunity is calculated by multiplying the retail consumers by the average buyer by the price of one unit of the drug.
The ability to develop is often a barometer for the appetite of private and public creditors and risk capitalists.
Answer:
The amount you will have in eight years is $29,679.56
Explanation:
In order to calculate the amount you will have in eight years we would have to use the following formula:
amount you will have in eight years=PV*(1+r)∧n
According to the given data:
PV=$20,000
r=6.8%
n=6
Therefore, amount you will have in eight years=$20,000*(1+6.8%)∧6
amount you will have in eight years=$29,679.56
Answer:
The options for this question are the following:
a. 1
b. 2
c. 0.5
d. 1.5
The correct answer is a. 1
.
Explanation:
Group analysis or grouping is the task of grouping a set of objects in such a way that the members of the same group (called a cluster) are more similar, in some sense or another. It is the main task of exploratory data mining and is a common technique in the analysis of statistical data. It is also used in multiple fields such as machine learning, pattern recognition, image analysis, information search and retrieval, bioinformatics, data compression and graphic computing.
Group analysis is not in itself a specific algorithm, but the task pending solution. Clustering can be done using several algorithms that differ significantly in your idea of what constitutes a group and how to find them efficiently. Classical group ideas include small distances between members of the group, dense areas of the data space, intervals or particular statistical distributions. Clustering, therefore, can be formulated as a multi-objective optimization problem. The appropriate algorithm and the values of the parameters (including values such as the distance function to use, a density threshold or the number of expected groups) depend on the set of data analyzed and the use that will be given to the results. Grouping as such is not an automatic task, but an iterative process of data mining or interactive multi-objective optimization that involves trial and failure. It will often be necessary to pre-process the data and adjust the model parameters until the result has the desired properties.
The answer is C. Lobbying