Answer:
A) Adaptability
Explanation:
The company could not adapt to the current trends in the market. organizational adaptability is concerned with how firms could quickly adjust their business processes to changes that enhances their growth and make give them the ability to compete with rivals.
Many advantages are embedded in adjusting to the trend in the market, one of which is:
1. They value their employees
2. They have a well defined goals
3. They become more creative
Answer:
correct option is e. -$100,000
Explanation:
given data
purchase time period = 5 year
property purchased = $250,000
current market value = $100,000
solution
we know property is 5 year old so here salvage value of building that would be realized when there is not engaged in any new project that shall be taken as a opportunity cost
so that it will be taken as here cash outflows
so correct option is e. -$100,000
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:
Increased responsibility for corporate officers
Explanation:
A review of eight thousand public companies, on the study of the impact of the Sarbanes-Oxley Act (SOX) of 2002 revealed that <u>SOX increased directors' workload and risk, and increased demand by mandating that firms have more outside directors. </u>
It was also revealed that both broad-based changes and cross-sectional changes (by firm size) occurred <u>because Board committees meet more often post-SOX</u> and Director and Officer insurance premiums have doubled.
Answer:
d. Unlike monopolies and monopolistically competitive markets, oligopolies prices do not exceed their marginal revenues.
Explanation:
An oligopoly can be defined as a market formation where in a given sector of the economy there are only a small number of competing companies offering a product or service. Its structure is formed by imperfect competition (between monopoly and perfect competition).
The difference between monopoly and oligopoly is that the number of companies that the market has will set the price of products in an oligopoly market, whereas in the monopoly only one company dominates the market and therefore that company determines the price of the good, as it is a market without competition. Therefore, alternative D is the incorrect one.
