The most significant difference between leaders and assembly line workers is the "Power".
The formal leaders have a formal power within the framework or system of an organization where they can influence others to work in the interests of the specific organization as opposed to assembly line workers, they lack this.
Answer:
The correct answer is option C.
Explanation:
`If firms can easily enter and exit the market, then firms operating in the market will earn zero economic profit in the long run. This is because the short run is too short for firms to enter and exit so potential firms will enter and exit in the long run.
If the existing firms will be having negative profits, the firms having loss will exit the market. This will reduce market supply. As a result, the price level will increase. This will go on until all firms will have zero economic profits.
Similarly, if the existing firms are having positive economic profits in the long run, the other firms will enter the market. This will increase the market supply such that the price level decreases. This will go on till all the firms will be having zero economic profits.
Answer: False
Explanation:
The Net Income also takes into account cash that has not been paid yet from credit sales as well as other non-cash expenses. It is therefore not a measure of how much cash is available to be distributed to shareholders.
The amount that represents the cash available to distribute to shareholders is called the Free Cash Flow to the Firm (FCFF) and accounts for the actual amount of cash available in the company for disbursement.
1. The researcher is concerned about making a Type I error (which caused by incorrect rejection of a true null hypothesis), which concludes that there are differences between the placebo and medication groups when these are really due merely to chance.
2. <span> In order to decrease the likelihood of type I error, the researcher could reduce her probability (alpha) leve to .01 or even .001.
Other method that she could do even though it's not popular is reducing her sample size.
3. The same method to solve type 1 errors would not work in other studies. As the possibility of type 1 error increased, the possibility of type 2 error will be decreased (for example type 2 error could be reduced by </span><span>by increasing the power of your test)</span>
First, we need to calculate for the total return of the project by multiplying 4,930 by 65. Doing so will give us an answer of $320,450. Then, we calculate the rate of return as shown below.
rate of return = ($320,450 / $238,400) x 100%
= 134.42%
Thus, the rate of return of the said project is approximately 134.42%.
