Answer:
It need sales figure of 22,125 units per year to break even considering their currnent contribution marign and fixed cost.
Explanation:
fixed cost per year:
equipment lease cost: 288,000
other overhead cost <u> 48,300 </u>
total fixed cost 336,300
contribution per unit:
sales revenue - variable cost
39.75 - 14.55 = 15.20
each units generates $15.20 dollar we need to save up for 336,300 dollars
break even point:
336,300 / 15.20 = 22,125 units
The Company recorded 660 x 74 = $48,840 in deferred revenue. This is a liability account that means they still owe the service or good which they have been paid for.
Every month, the company records an adjusting entry, recognizing one twelfth of the 48,840, 4,070, because they have earned another month of that deferred revenue by providing the magazine.
The journal entry on December 31, 2018, will be
Deferred Revenue 4,070
Revenue (4,070)
If this is the first time they've made the entry, then they will recognize earned revenue for Sep, Oct, Nov and Dec,
Deferred Revenue 16,280
Revenue (16,280)
Answer:
The statement is: True.
Explanation:
Teams tend to have more effective results when they select a leader, recorder, and evaluator. Those characters will play an important role to control and measure the team's performance that will lead them to achieve their objectives. The <em>leader </em>should guide the team whenever the members gather, the <em>recorder </em>registers the most relevant information of every meeting, and the <em>evaluator </em>measures the advance of the project with the help of the leader.
Answer:
The proportion of people in your sample whose response is yes=40 people
Explanation:
<em>Step 1: Determine the statistical proportion that will say yes</em>
Proportion=40%=40/100=0.4
<em>Step 2: Determine the proportion in the sample that will say yes</em>
The proportion in the sample can be expressed as;
P=S×Z
where;
P=proportion in the sample
S=statistical proportion
Z=sample size
In our case;
P=unknown to be determined
S=40%=40/100=0.4
Z=100
replacing;
Proportion in the sample=0.4×100=40
The proportion of people in your sample whose response is yes=40 people
