Brainstorming is a technique for the decision making, it encourages arguments between the individuals but this sometimes result in conflicts and disagreements.
<h3 /><h3>What is decision making?</h3>
Decision making is the technique in which the decision is decided, according to the situation and after careful analysis of the environment decision is made.
Force Field technique is a decision making technique, in this technique the participants write the decision in the middle of the paper and list the forces that require and resisting changes.
Decision making techniques are important and should be used to make an effective decision, in a complex business it is difficult to apply the technique but it is also important to implement the technique.
Brainstorming is the technique in which all the participants sit together and share their ideas while some challenge the ideas and so a decision with an agreement is made.
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Answer:
$160
Explanation:
Calculation to determine How much does the investor gain or lose
Investor gain =[($20-$18.2)*100 Shares]- ($0.2*100 shares)
Investor gain=($1.8*100 shares)-($0.2*100 shares)
Investor gain=$180-$20
Investor gain=$160
Therefore The amount that the investor gain is $160
Answer:
Buy 0.8 shares for each option purchased
Explanation:
Calculation to determine What is necessary to hedge the position
Using this formula
N=Vu-Vd/U-D
U = stock price in case of an up move = $36
D = stock price in case of an down move = $26
VU = put option value if stock goes up = $0
VU = put option value if stock goes down = $32 - $26 = $6
Using this formula
N=
−
V
U
−
V
D
U
−
D
N
=
−
0
−
6
36
−
26
N
Now let calculate What is necessary to hedge the position
Value =74 x + 6
Hence,
90x=74x + 6,
x=6/(90-74)
x=6/16
x=.375
Please find full question attached
Answer:
Inferential statistics
Descriptive statistics
inferential statistics
descriptive statistics
Descriptive statistics
Inferential statistics
Explanation:
Descriptive statistics describes data and gives us a picture of what the data summary looks like using such things as mean and central tendency measures. Inferential statistics on the other hand aims to make predictions using the data based on data analysis such as collecting sample from population and constructing hypotheses to estimate outcomes for the general population. Example in the question, the first is inferential statistics as we make generalized predictions on batteries using data samples from the population of batteries of a particular type.
Jill will not win because this is an illusory promise without consideration.
<u>Explanation:</u>
Even if Jill sues his boss Constance for not giving him the bonus that she had promised to give if her employee, Jill works with great focus and dedication, he will probably not win the case.
The reason for this is that it was just a promise and not a contract signed between that employer and that employee. It was just an illusory promise which is not enough to sue the person or the employer. So there was no benefit of doing it.
