Answer:
a) Decrease LRAS
b) Decrease LRAS
c) Increase AD
d) Increase AD
Explanation:
steel workers go on strike so less steel is produced : this will cause a decrease in the log run aggregate supply of steel in the economy
A tornado destroys factories in Louisiana.: this will cause a decrease in the log run supply of factory products and by-products in the economy
Consumer optimism increases.leads to an increase in the aggregate demand curve
The stock market rallies to 52-week highs increasing consumer wealth. this will definitely lead to an increase in the aggregate demand curve because with more money to spend the demand curve will increase
Answer:
less expansive
Explanation:
i took the test. i got it right
Answer: Extra safety that is applied to a project immediately before the use of the constrained resource.(D)
Explanation:
Drum buffer can be explained as period of time that is used to safeguard the drum resource from the problems that occur from the drum operation.
The aim of the drum buffer effect is to provide a recheck of the work in order not to deviate from the real aim of the project. The buffer makes up for the process variation, and makes the project stable as it gives extra safety which is applied mmediately before using constrained resource.
Answer:
Projects A,B,C,D and E should be accepted
Explanation:
Based on the fact that each of the itemized projects has the same of level of risk as the company's existing assets, we suggest that the firm undertake those projects that gives a return rate which is above the current weighted average cost of capital of 10.5%
In essence,projects A,B,C,D and E should be accepted as they 12%,11.5%,11.2%,11% and 10.7% returns on investment respectively.
Projects F& G would be rejected on the premise that their rates of return are lower than what is currently obtainable in Midwest Water Works.
Quality best represents to reduce the likelihood of a product recall
There are many different statistical tools available, some of which are straightforward, some complex, and many of which are quite specialized for certain uses. Comparing data, or groups of data, in analytical activity is the most crucial common procedure for calculating accuracy (bias) and precision. Fortunately, much of the information required in routine laboratory work can be acquired using a few easy-to-use statistical tools: the "t-test," the "F-test," and regression analysis. As a result, examples of these will be provided in the following pages. Clearly, statistics are a tool, not a goal, and a skilled and committed analyst may find simple data examination, without statistical treatment, to be just as beneficial as statistical numbers on their desk.
To know more about statistical tools refer to brainly.com/question/28214875
#SPJ4
