Kings held all the power within their states' boundaries
<span>Kotter's 8 steps of leading change can be applied in managing change.</span><span>Creating a sense of urgency will help spark the initial motivation to get things moving. Forming a powerful coalition will ensure that the change effort is supported by key decision makers. Creating a vision for the change will help make it memorable. Communicating the change will ensure that people's concerns are addressed so that they can embrace it. Removing obstacles will reduce resistance faced. Creating short term wins will provide momentum needed to keep the changes going. Building on change will enable shortcomings to be improved. Anchoring the change on corporate culture will ensure that it sticks. </span>
Answer:
1. Her return on investment is 20%
2. $40,000
Explanation:
1. We have Return on Investment = Net income from the Investment / The invested amount.
The net income is clearly stated in the Question which is the after-tax profit at $20,000.
The invested amount of Amelia is the amount she invested in Goodies Gift Shop which is illustrated as net worth ( owner's equity) at $100,000 in the Balance Sheet (Year 2).
As we have Return on Investment = 20,000/100,000 = 20%
2. We have the projected pre-tax profit = Projected margin - total overhead = 250K - 200K = $50,000
The after-tax profit = pre-tax profit x (1- tax rate) = 50K x (1-20%) = $40,000
Answer:
The first annual depoisit will be of 3,373.49 dollars
Explanation:
Given the formula for future growing annuity
we need to solve for the yearly payment:
grow rate: 0.04
annual effective rate: 8% compounding semiannually:

r= 0.0816
FV 2,500,000
n 46
<em><u>Formula for future value fo an ordinary annuity:</u></em>


The first annual depoisit will be of 3,373.49 dollars
Answer:
<em>c. The reasoning of both Alfons and Mary suffers from the omitted variable problem</em>
Explanation:
The issue of omitted variables occurs as a result of mis-specification of a linear regression model, which could be either because the impact of the omitted variable on both the dependent variable is unclear, or the evidence was not accessible.
This causes you to omit the variable from your regression, resulting in over-estimation (upward bias) or underestimation (downward) of the influence of one of the other predictor variables.