Answer:
a. $90,000 favorable
Explanation:
Calculation for what The selling price variance for Product Y is
First step is to calculate the Actual price
Actual price:M=$540,000 ÷ 9,000
Actual price= $60
Now let calculate the selling price variance
Selling price variance=($60 - $50) × 9,000
Selling price variance=$10×9,000
Selling price variance=$90,000 favorable
Therefore The selling price variance for Product Y is $90,000 favorable
Answer
The answer and procedures of the exercise are attached in the following archives.
Step-by-step explanation:
Gross profit = Sales - Cost of goods sold
= (440 x 90 + 220 x 80 + 264 x 50) - (440 x 56.7 + 220 x 50.4 + 264 x 31.5)
= (39,600 + 17,600 + 13,200) - (24,948 + 11,088 + 8,316)
= 70,400 - 44,352
= $26,048
Ending inventory schedule attached in the excel archive
You will find the procedures, formulas or necessary explanations in the archive attached below. If you have any question ask and I will aclare your doubts kindly.
Hello!
You forgot the alternatives!
incentives
<span>margin </span>
<span>markets </span>
<span>scarcity
</span>
The term that is most closely related to trade-off, from the list above, is: scarcity. Scarcity is the condition that moves the trade-offs, it determines the quantity of each product you need or have. So, for example, if you need a product that you don't have enough and another that you have in excess, you can exchange it with someone that have interest in your product and has the one that you need.
Hugs!
Her children will not inherit any of her assets
Answer:
12.00%
Explanation:
As per the given question the solution of standard deviation of a portfolio is provided below:-
Standard deviation of a portfolio = √(Standard deviation of Product 1)^2 × (Weight 1)^2 + Standard deviation of Product 2)^2 × (Weight 2)^2 + 2 × Standard deviation of product 1 × Standard deviation of product 2 × Weight 1 × Weight 2 × Correlation
= √(0.165^2 × 0.6^2) + (0.068^2 × 0.4^2) + (2 × 0.6 × 0.4 × 0.165 × 0.068 × 0.7)
= √0.009801 + 0.0007398 + 0.00376992
= √0.01431076
= 0.119628592
or
= 12.00%
So, we have calculated the standard deviation of a portfolio by using the above formula.
