P1 = $27
P0 = $23
To solve:
Capital gain rate = (P1 - P0)/P0
Capital gain rate = ($27.00 - $23.00)/$23.00
Capital gain rate = $4/$23
Capital gain rate = 0.1739
Capital gain rate = (0.1739)(100)
Capital gain rate = 17.39%
Answer:
If the company buys the component, income will decrease by $225,000.
Explanation:
Giving the following information:
Units= 40,000
The manufacturing cost:
Direct materials $ 75,000
Direct labor 120,000
Variable overhead 45,000
An outside supplier has offered to sell the component for $12.75.
Vest Industries can rent its unused manufacturing facilities for $45,000.
We will take into account only the differential costs.
<u>Make in -house:</u>
Total cost= 75,000 + 120,000 + 45,000= $240,000
<u>Buy:</u>
Total cost= 40,000*12.75 - 45,000= $465,000
If the company buys the component, income will decrease by $225,000.
Answer:
B. Herbania is technologically superior to Duckistan in producing civilian goods.
Explanation:
Duckistan Production Possibilities
A B C D E
Civilian Goods 20 18 14 8 0
Military Goods 0 1 2 3 4
opportunity cost - ¹/₁₈ ¹/₇ ³/₈ 4 civilian goods
opportunity cost 20 18 7 2.7 - military goods
Herbania Production Possibilities
A B C D E
Civilian Goods 40 36 26 14 0
Military Goods 0 1 2 3 4
opportunity cost - ¹/₃₆ ¹/₁₃ ³/₁₄ 4 civilian goods
opportunity cost 40 36 13 4.7 - military goods
Herbania has an absolute advantage in the production of civilian goods. Since it also has a lower opportunity cost of producing civilian goods, therefore, it also has a comparative advantage at producing civilian goods. Assuming that resources are equal in both countries, then we can assume that Herbania is technologically superior in the production of civilian goods.
Dukistan has a lower opportunity cost of producing military goods, therefore, it has a comparative advantage at producing military goods.
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.
The first advice I would give Mr. Peterson would be to formalize the transfer. So the first step in this situation would be to contact a good lawyer to see if the transfer of business to your child would be authorized. This is because the transfer of LLCs has rules that may differ from one location to another.
