Answer: effective age, chronological age
Explanation:
Effective age is the estimate of the age of a particular structure which is typically based on the condition and the utility of such structure.
Chronological age has to do with the amount of time from the day the building was constructed to the present age.
Answer:
No, he should <u>not</u> pick up the $100 bill
Explanation:
If his salary were those $20 billion (20,000,000,000) by a year. Let's find out how much this is by a second.
First let's find out how much is that salary by <em>a day</em>, then by <em>an hour</em>, then by <em>a minute</em> and finally by <em>a second</em>.
So he would be losing money if he picks up the $100 bill, because he would be missing 634 dollars per second.
Answer:
B. a task analysis
Explanation:
A task analysis is a detailed analysis to define a set of steps that needed to be taken in order to reach a certain goal. In business , task analysis is conducted by observing the actions of the employees and form a measurement to ensure that the employees is making a desired improvement.
In the example above, Brent's goal is to ensure that Mason will never repeat his mistake in using bad ingredients ever again.
After he defined the goal, he analyze the situation and create a steps that needed to be taken to achieve the goal. That 'step' is putting Mason in an additional training
Answer:
E. goal incompatibility.
Explanation:
Analyzing the scenario above, it is possible to see that the cause of the conflict is due to incompatibility of goals, that is, there are different objectives and goals between the teams and organizational departments, which causes a lack of consensus that culminates in the conflict.
This is a negative situation for the company, which is a set of systems that must operate in favor of the same objectives and goals. in order to listen to all the parties involved, and then start from a principle where everyone feels heard and integrated in the development of organizational goals, creating an environment of trust and positive relationship in the company.
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.
