Answer: $220,000
Explanation:
Using the Accrual Method of Accounting means that revenue is only to be recorded when it is earned i.e. when services have been delivered.
Any revenue received when the services have not been delivered will be recorded as Unearned Revenue.
With $528,000 in subscription revenue, the monthly subscription is;
= 528,000/12
= $44,000
From June to December would be 7 months so they would have earned;
= 44,000 * 7
= $308,000
The amount that they have not earned but have received would therefore be;
= 528,000 - 308,000
= $220,000
<em>This amount will be recorded after they finish deliveries of magazines in next year May. </em>
Answer:
The alternative that should be chosen assuming identical replacement is:
Alternative B.
Explanation:
a) Data and Calculations:
Alternatives:
A B
First Cost $5,000 $9,200
Uniform Annual Benefit $1,750 $1,850
Useful life, in years 4 8
Rate of return 7% 7%
Annuity factor 3.387 5.971
Present value of annuity $5,927.25 $11,046.35
Net cash flow $927.25 $1,846.35
b) Alternative B yields a higher return than Alternative A. Since the two alternatives are based on the same rate of return, Alternative B will bring in a higher annual benefit, even when discounted to the present value.
Answer: (E) Pull strategy
Explanation:
The pull strategy is one of the type of the marketing technique or the strategy in which the customers are pulled towards the product by using this strategy.
We use various types of mass media and the advertising for promoting the products and the services. It is also known as one of the type of channel strategy.
The main goal of the pull strategy is that by using various promotional tool we attract the consumers or user to the product and the services which is provided by an organization.
Therefore, Option (E) is correct.
Answer:
Explanation:
Experiments were performed for 240 people, 60 people test positive.
Step 1: we calculate the sample proportion; p= 60/240= 0.25.
Step 2: calculate the standard error for the sample, which is the square root of sample proportion,p = p(1-p)/n, n=100
0.25(1-0.25)/100
= 0.04.
Step 3: calculate the test statistics; assuming the hypothesis test percentage is 25%
Then, we say 0.25-1=0.75
-0.75/0.04
= -1.875.
In particular, the sample results are -1.875 standard error.
Probability of Z is less than -1.875.
Look up it value in the Z table
It’s B :) because it ensures what fits best to the company about employees idk if that make sense.
