Answer:
valence
Explanation:
Valence, as per the subject of psychology, implies the inherent attraction or adverseness of an event, object or scenario, particularly regarding emotions. The word also characterises different feelings and classifies them. For instance, feelings generally referred to as "evil" have harmful valence, such as fear and anger.
Valence can be given a number and regarded as if it had been weighed, but it is unclear how accurate a statistic is based on a subjective study. Measurement based on visual emotion findings, using the Facial Activity Coding System and micro-expressions or muscle activity identified by facial electromyography, or current functioning brain scanning will resolve the opposition.
Answer:
It describes the problem of transaction costs and negotiation.
Explanation:
Externalities are situations that arise when the activities of an organization affects another for good or bad, but with the first organization that caused the change, receiving no benefits (if it was a positive change), or bearing no costs (if it as a negative change).
Ronald Coase proposed some theories about the possible solutions to externalities. One of them is negotiation between the two parties involved. The problem with this solution is the high costs of transaction that could be spent before an agreement is reached. The number of people involved in the negotiation could also be a problem.
Answer:
1. fixed and indirect
2. variable and direct
3. variable and direct
4. fixed and indirect
5. fixed and indirect
6. variable and direct
Explanation:
<u>Fixed and variable costs</u>
A fixed cost is expected to be constant for a short term period whilst a variable cost is expected to vary in direct proportion to the number of units produced in this case it is the individual classes.
Depreciation expense on classroom building and on computers is a fixed cost that is expected to remain constant and the instructor wage varies with the number of classes thus a variable cost.
<u>Direct and Indirect costs</u>
A direct cost can be directly traced to the cost object by observation whist the indirect cost can not be directly traced on a cost object.
The instructors wage is a direct cost, his effort is seen with the success of the classes whist the depreciation expenses are indirect costs.
Answer:
If both demand and supply increase by the same amount, the output level will increase while price will remain same.
If increase in demand is greater than increase in price then price and output both will increase.
If increase in supply is greater than increase in demand, price will decline while output will increase.
Explanation:
The changes in the price and quantity of salsa depending on the degree of change in supply and demand. In case both the variables increase by the same proportion, the price will remain the same while quantity will increase.
In case the increase in demand is more than increase in supply it would cause the price to increase because of excess demand. At the same time, the quantity will increase as well.
In case the increase in supply is more than increase in demand, the price will fall due to excess supply. The output will increase as well.
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.
