Answer:
$100,000
Explanation:
The computation of gross profit is shown below:-
Gross profit = (Sales revenue - Sales return - Sales discount) - Cost of goods sold
= ($350,000 - $50,000 - $20,000) - $180,000
= $280,000 - $180,000
= $100,000
Therefore we simply applied the above formula for determining the gross profit
Answer:
A
Explanation:
now am not sure but i think the answer is A
Answer:
The amount Laramie should record the purchase of land is <u>$6.2 million</u>.
Explanation:
The costs of a fixed asset refer to the purchase price and other relevant costs which are incurred in order to the location and working condition required to operate the fixed asset in way that it is intended.
The other relevant costs that are added to the purchase price to arrive at the cost of the fixed assets include professional fees, non-refundable taxes or levies, and among others.
If any trade discount or rebate is given, this will be deducted from the purchase price to arrive at the cost.
Any interest required to be paid on the delayed payment in order to reflects the time value of money are not part of the cost of the asset but expensed in the year they are incurred.
From the question, the land acquired is a fixed asset. Based on the explanation above, the total cost of the asset is $6.2 million. The interest from the 6% interest rate on the remaining $5 million will be part of the cost of the land but it will be expensed in the year they are incurred.
Therefore, the amount Laramie should record the purchase of land is <u>$6.2 million</u>.
C. prototyping, does it makes sense now.
Answer: 
Explanation:
If r is the number of successes out of n trials , then the sample proportion of success = 
For binomial experiment , if the population probability of success p on a single trial is not given , then the best point estimate for probability of success p on a single trial is the sample proportion of successes.
i.e. a point estimate for the probability of success p on a single trial :

Hence, a point estimate for the probability of success p on a single trial = 