Answer:
A. Johanna was moved by the arguments put forth by the first speaker.
Explanation:
We start by first explaining the meaning of the concept anchoring bias. This would help us to pick the best answer for this question.
Anchoring bias can be described as a bias that exists when a person is heavily dependent on the first information they get or are offered. Once the person sets this anchor, all the judgments that they make tends to be anchored around this information.
so from these options in this question , the one that substantiates on what an anchoring bias is option A.
Johanna was moved by the arguments put forth by the first speaker.
Answer:
b. 60%
Explanation:
The computation of percentage is assigned to Cost of Goods Sold is shown below:-
$ %
Sales $300 $100
Cost of Goods Sold $180 $60 ($180 ÷ $300) × 100
Gross Profit $120 $40 ($120 ÷ $300) × 100
Operating Expenses $45 $15 ($45 ÷ $300) × 100
Net Income $75 $25 ($75 ÷ $300) × 100
Percentage assigned to cost of goods sold = Cost of goods sold ÷ Sales × 100
= $180 ÷ $300 × 100
= 60%
Therefore for computing the percentage is assigned to Cost of Goods Sold we simply applied the above formula.
The answer is "-4.85%".
Year Output Input Productivity
in Packages in Drivers (Output/Input)
last year 103,000 <span>84 1226.2
this year </span><span> 112,000 96 1166.7
Percentage change = (</span>1166.7 - 1226.2) = <span> -59.5/1226.2 = 0.0485
=0.0485 x 100 = -4.85%</span>
The franchisor is a party granting rights.
Answer:
The forecast for the year 2012 with an alpha value of 0.20 = 366.04.
Explanation:
The first step in order to solve this question/problem is to calculate or determine the Exponentially smoothed forecast for a period of time, t using the values of average demand for 2005 through 2007, that is to say;
Exponentially smoothed forecast for a period of time, t using the values of average demand for 2005 through 2007 = [actual sales in 2005 + actual sales in 2006 + actual sales in 2007]/ 3.
Therefore, Exponentially smoothed forecast for a period of time, t using the values of average demand for 2005 through 2007 =[ 281 + 367 + 409]/3 = 1057/3 = 352.3.
Since we are asked to use the smoothed value calculated as of the end of 2012. Use the average demand for 2005 through 2007 as your initial forecast for 2008, then, we have that for 2008 the forecast = 352.3.
Therefore, the forecast from the year 2009 through to the year 2012 can be calculated as given below;
The forecast for the year 2009 with an alpha value of 0.20 = 0.2 × 467 + [1 - 0.2] × 352.3 = 375.24.
The forecast for the year 2010 with an alpha value of 0.20 = 0.2 × 369 + [1 - 0.2] × 352.3 = 355.64.
The forecast for the year 2011 with an alpha value of 0.20 = 0.2 × 511 + [1 - 0.2] × 352.3 = 384.04.
The forecast for the year 2012 with an alpha value of 0.20 = 0.2 × 421 + [1 - 0.2] × 352.3 = 366.04.
