Answer:
c) $18,986
Explanation:
The computation of the payment of principal is shown below:
= Annual payment - (Balance of Principal × interest rate)
= $48,986 - ($250,000 × 12%)
= $48,986 - $30,000
= $18,986
We do not consider the time period. Hence, we ignored it as it is not relevant for the computation part.
We simply multiply the principal balance with the interest rate and then deduct it from the annual payment.
Answer:
Dividend income received = $400
Explanation:
Given:
May 18th Purchased 1,000 shares
June 5th Sold 200 shares
July 8th Sold 400 shares
declared dividend on June 25th to holders
Dividend amount = $0.50 per share
Computation of dividend income received:
Balance of share on June 25th = May 18th (Purchase) - June 5th (Sold)
Balance of share on June 25th = 1,000 - 200
Balance of share on June 25th = 800 shares
Dividend income received = Balance of share on June 25th × Dividend amount
Dividend income received = $.50 × (1,000 share - 200 share)
Dividend income received = $400
Answer:
B. $270,000.
Explanation:
The computation of the total overhead cost is shown below:
But before that first we have to find out the variable overhead per hour which is
= $90,000 ÷ 15,000
= $6 per hour
Now
Variable overhead for 25,000 hours is
= $6 per hour × 25,000
= $150,000
So,
Total overhead cost is
= Variable overhead for 25,000 hours + Fixed overhead cost
= $150,000 + $120,000
= $270,000
hence, the correct option is B. $270,000
Answer:
The statement is true
Explanation:
As a fact, I agree that with large sample sizes, even the small differences between the null value and the observed point estimate can be statistically significant.
To put it differently, any differences between the null value and the observed point estimate will be material and/or significant if the samples are large in shape and form.
It's also established that point estimate get more clearer and understandable, and the difference between the mean and the null value can be easily singled out if the sample size is bigger.
Suffix to say, however, while the difference may connote a statistical importance, the practical implication notwithstanding, will be looked and studied on a different set of rules and procedures, beyond the statistical relevance.
