Answer:
$100 per share
Explanation:
Complete question: <em>As a result of the stock dividend, Euclid's per share basis is $?</em>
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The Total stock is 500 shares for $50,000 Basis = 50,000 / 500 = $100
Hence, Euclid's per share basis is = $100 per share
Answer: The options are given below:
A. $18.00
B. $1,036.80
C. $2.00
D. $7.20
E. $64.00
The correct option is D. $7.20
Explanation:
From the question above, we were given:
Annual demand = 100,000 units
Production = 4 hour cycle
d = 400 per day (250 days per year)
p = 4000 units per day
H = $40 per unit per year
Q = 200
We will be using the EPQ or Q formula to calculate the cost setup, thus:
Q = √(2Ds/H) . √(p/(p-d)
200=√(2x400x250s/40 . √(4000/(4000-400)
200=√5,000s . √1.11
By squaring both sides, we have:
40,000=5,550s
s=40,000/5,550
s=7.20
The right answer is keep social exchanges proactive and with intent.
What are Social exchanges ?
- Social exchange Proposition proposes that social behavior is the result of an exchange process.
- The reason for this exchange is to increase benefits and less costs.
- According to this proposition, people weigh the implicit benefits and pitfalls of their social connections. When the pitfalls overweigh the prices, they will terminate or abandon the relationship.
Most connections are made up of a certain quantum of give- and- take, but this doesn't mean that they're always equal.
Social exchange suggests that it's the valuing of the benefits and costs of each relationship that determine whether or not we choose to continue a social association.
Melina manages a platoon that's all remote. She wants to unite with her platoon to design and make a culture when working. So the suggestion to her and her team is to keep social exchanges proactive and with intent.
Learn more about Social exchanges here:
brainly.com/question/5660582
#SPJ4
Answer:
A) discrete random variable.
Explanation:
Discrete random variables can assume only a finite number of values, and their combined total probabilities must equal 1.
On the other hand, continuous random variables can take any value with an interval or collection of intervals, which means that the possible values are infinite.
A complex random variable is a combination of two real random variables that have rel and imaginary parts.
