Answer:
Explanation:
From the information povided:
(a) To compute the amount of goodwill paid by Chicago Corporation
Particulars Amount ($)
Accounts Receivable 100000
Inventory 170000
Plant & Equipment 400000
Land 90000
Customer List 4000
Trade Names <u> 16000</u>
NET ASSETS (A) <u>780000</u>
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Current liabilities 76000
Non-current liabilities <u>160000 </u>
NET LIABILITIES (B) <u> 236000</u>
∴
PURCHASE CONSIDERATION (A -B) 544000
<u>Less:</u> Cash Paid <u> 580000</u>
GODWILL <u> 36000 </u>
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b)
In the books of Chicago Corporation, the Journal Entry to record the purchase of Naperville Company.
Account Name Dr. Cr.
Accounts Receivable A/C 100000
Inventory A/C 170000
Plant Equipment A/C 400000
Land A/C 90000
Customer List A/C 4000
Trade Names A/C 16000
Goodwill A/C 36000
Current liabilities A/C 76000
Non-Current Liabilities A/C 160000
Cash A/C 580000
c)
The minimum required amount of goodwill that Chicago can amortize by the end of 2020 is $3600.This is because the amortization can take place for a period of 10 years.
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Answer:
C) cluster analysis
Explanation:
Regression analysis. The regression analysis determines the relationship between the two variables. Thus, one of these quantities (X) is given in advance(dependent) and is not random. The second value (U) is the independent and random number. The randomness of the second quantity can be explained for two reasons. First: Measuring the random number U, which depends on the number X, is associated with certain errors; second: The value of U may depend on other uncontrollable factors, in addition to being dependent on the value of the corresponding X value. In this case, we need to talk about the distribution of the random variable U against each value of the X variable. The main purpose of the regression analysis is to build a mathematical model that takes into account the factors affecting the physical process using experimental data and evaluating its accuracy. The least squares method is used for statistical estimation of the mathematical model's suitability to experimental data.
Discriminant analysis is a method used in statistics, pattern recognition, and machine learning to find a linear combination of attributes that define or distinguish two or more classes or events. The resulting combination can be used as a linear classifier or more often to reduce the size before classifying. LDA is closely related to variance analysis (ANOVA) and regression analysis, which try to express a dependent variable as a linear combination of other properties or dimensions. However, while variance analysis uses qualitative independent variables and a continuous dependent variable, discriminant analysis has continuous independent variables and a qualitative dependent variable.
Cluster analysis or clustering is a problem of grouping a number of objects. In this problem, objects must be in some way more similar to those in other groups to accommodate the same clusters (clusters). One of the main problems with data transmission is a common technique used in statistical data analysis. It is also used in machine learning, pattern recognition, image analysis, data retrieval, bioinformatics, data compression and computer graphics.
One-way analysis of variance (ANOVA) is used to calculate the significance of the difference between three and more independent means in a normally distributed series. ANOVA compares the arithmetic means of three or more groups alone; ANOVA result is also significant when at least one of these comparisons is significant. To measure the significance it will have the relation to the regression analysis that's why there will be dependent and independent variables as well.
Answer:
Big Five model
Explanation:
The Big Five model also known as the Five Factor Model (FFM) or Ocean or Canoe model is a way of grouping human behavior/traits. This behavior or traits are subject to relationship between words.
The Ocean or Canoe (OCEAN/CANOE) abbreviation is a combination of the first letters of the words of the the five(big five) traits.
Openness to experience, Conscientiousness, Extroversion, Agreeableness, emotional stability(Neuroticism). It can also be rearranged to form CANOE as well.
This five traits are also affected by the upbringing or family cultures as well. Anyone described with any of the above word is most likely to have attributes that exemplify the meaning of the words.
I hope this helps.
Answer:
The answer is autonomy (Option D)
Explanation:
Autonomy in human resource management refers to the level or degree of discretion and freedom which an employee is permitted to exercise when performing his/her job. In other words, it means granting employees the freedom on how to approach work.
A manager or superior like Margie (in the question) who gives employees autonomy simply gives minimal instruction on what needs to be achieved but allows the employees to go about the job in ways that best suit them.