Answer:
2. Only counting final goods
Explanation:
When defining national income accounting and terminolgies, emphasis is always laid on "...total value of FINAL goods...". This is as a result of avoiding double counting. If intermediate goods were counted alongside final goods, it would be double counting because intermediate goods are used in producing those final goods. Final goods are good meant for final consumption. The other method used in avoiding double counting ( counting of the value of the same product more than once) apart from counting final gooda is Value added approach.
Answer:
$50,180
Explanation:
Preparation of Income Statement
NEIGHBORHOOD REALTY, Incorporated Income Statement For the Year Ended December 31,
REVENUE :
Commissions earned$167,700
($150,900+ $16,800)
Rental service fees 20,000
Total revenues $187,700
EXPENSES :
Salaries expense $62,740
Commissions expense $35,330
Payroll taxes $2,500
Rent Expenses $2,700
($2,475/11 month=225)
($2,475+225=$2,700)
Utilities expense $1,600
Promotion and advertising $7,750
Miscellaneous expenses $500
Total expenses (excluding income taxes) $113,120
Pretax income $74,580
($187,700-$113,120)
Income tax expense 24,400
Net income $50,180
($74,580-24,400)
Therefore NEIGHBORHOOD REALTY, Incorporated Income Statement For the Year Ended December 31, NET INCOME will be $50,180
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.
<span>Who is better off: a person using credit cards or a person refraining from any loans? A person using credit cards is better off </span>from a person refraining from any loans. A person using credit can often purchase more and have more flexibility with their money over someone who only uses cash. There are items and services that do not take cash as a form of payment, so without a credit card the person can not make the purchase.
Answer: availability heuristic
Explanation: Heuristic is simply a mental strategy used to quickly form judgments, make decisions, and find solutions to complex problems.It describes an approach to problem solving, learning, or discovery that employs a practical method nit guaranteed to be optimal or perfect; not following or derived from any theory. A product specialist who bases a decision not to launch a new product based on her recent failure with another product offering is an example of availability heuristic. It relies on information that comes to mind quickly when it comes to making judgment or decision about relative risk or danger. our brains rely on a number of different strategies to make quick decisions. Availability heuristic is then, a mental shortcut that helps individuals make quick, but sometimes incorrect, assessments.
