Answer:
Kindly see attached organized table for clarity.
Item cash Net income
a Purchase of Supplies of cash -$133 -
b Adjusting entry for use of supplies - -$31
c Made sales on account - $1,297
d Received cash from customer on acct $865 -
e Purchased equipment for cash -$2,528 -
f Depreciation of building to be recorded - -$610
Answer: $4.24
Explanation:
According to the Put-Call Parity, the value would be expressed by;
Put Price = Call price - Stock price + Exercise price *e^-(risk free rate *T)
T is 90 days out of 365 so = 90/365
= 2.65 - 26 + 28 * 2.71 ^ (-0.06 * 90/365)
= $4.24
Answer:
The Correct Option is C.
Explanation:
Vision is which a person see something either having a heavenly perspective or in the person or individual mind. Whereas the dream is what the person or individual see when the person or individual is asleep.
So, Jung believed that the dreams and the vision is important or vital form of communications from another domain.
Answer and Explanation:
The computation of the contribution margin per pound for each of the three products is shown below:
As we know that
Selling price per pound - Variable cost per pound = Contribution margin
For Product K1
= $155.8 - $91
= $64.8
For Product S5
= $108.92 - $90
= $18.92
For Product G9
=$205.55 - $136
= $69.55
Now the contribution margin per pound is
For Product K1 = Contribution margin ÷ Pound
= 64.8 ÷ 4.2
= 15.43 per pound
For Product S5 = Contribution margin ÷ Pound
= 18.92 ÷ 4.1
= 4.61 per pound
For Product G9 = Contribution margin ÷ Pound
= 69.55 ÷ 5.3
= 13.22 per pound
The 95% confidence interval will be wider than the 90% confidence interval.
In statistics, the likelihood that a population parameter will fall between a set of values for a certain percentage of the time is referred to as a confidence interval. Analysts frequently employ confidence ranges that include 95% or 99% of anticipated observations. Therefore, it may be concluded that there is a 95% likelihood that the real value falls within that range if a point estimate of 10.00 with a 95% confidence interval of 9.50 - 10.50 is derived using a statistical model.
- The level of certainty or uncertainty in a sampling process is measured by confidence intervals.
- Additionally, they are employed in regression analysis and hypothesis testing.
- To determine statistical significance, statisticians frequently combine confidence intervals with p-values.
- 95% or 99% confidence levels are most frequently used in their construction.
Learn more about Confidence interval, here
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