Answer:
(a) Labor productivity is 0.0096 rugs/dollar
(b) Multifactor productivity is 0.244 rugs/dollar
Explanation:
(a) Labor productivity = total output/total labor input = 85 rugs/($17×520) = 0.0096 rugs/dollar
(b) Solvent productivity = 85 rugs/($5×100) = 0.17 rugs/dollar
Machine rental productivity = 85 rugs/($60×22) = 0.0644 rugs/dollar
Multifactor productivity = 0.0096+0.17+0.0644 = 0.244 rugs/dollar
Answer:
The false statement is letter "D": The impact of restitution is to allow a promisee to recover the value of services he gave to the defendant irrespective of whether he would have lost money on the contract and been unable to recover in a suit on the contract.
Explanation:
In Law, restitution implies returning the monetary value loss of property to the party affected after a trial. Restitution implies returning the material goods a defendant could have taken from the plaintiff or compensating that person in monetary value for the damages caused.
Only in the case there was property loss, restitution plays like a grant there will be a compensation for the damages. If there are not significant damages or if no monetary pact was signed in a contract, there is no reason why a plaintiff should ask for restitution.
Answer:
Curtis
The total percentage return on the investment is:
= -7.86%.
Explanation:
a) Data and Calculations:
Initial share price at which the stock was purchased = $140
The selling share price = $119
Dividends earned during the stock ownership (holding period) = $10
Total returns, including proceeds from the sales = $129 ($119 + $10)
Total returns from holding the stock until sold
= Total returns + sales proceeds minus Initial purchase cost
= -$11 ($129 - $140)
Total percentage return on the investment = $11/$140 * 100
= 7.857
= 7.86%
Answer: -$45 billion.
Explanation:
Net Exports refers to Exports out of a country less imports into the country and it is a component of GDP using the Expenditure method. The other components include Government Spending, Investment and Consumption all of which are given in the above question.
The Net Exports are therefore;
GDP = Consumption + Investment + Government Spending + Net Exports
3,542 = 2,343 + 865 + 379 + Net Exports
3,542 = 3,587 + Net Exports
Net Exports = 3,542 - 3,587
Net Exports = -$45 billion
The Net Exports are negative which means that more goods were imported than were exported.
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.
