Answer:
1. Entrepreneurs can only be successful if they have large funding backing them.
2. Entrepreneurs have cushy hours.
3. Entrepreneurs have to do everything themselves.
5. Entrepreneurs have to take huge risks.
7. Entrepreneurs are never stressed out.
8. Entrepreneurs are all wealthy.
9. Entrepreneurs are their own boss.
10. Entrepreneurs have more personal time.
Answer: hello your question is incomplete attached below is the complete question.
answer :
3.02 million, 2.96 million, 2.91 million
Explanation:
<u>Determine the swap rate over a 3-year period</u>
swap rate = forward exchange rate * exchange amount
For year 1
1.4 * ( 1 + 0.03 / 1 + 0.05 ) * 2.2 million
= 1.4 ( 0.98095 ) * 2.2
= 3.02 million
For year 2
1.4 * ( 1 + 0.03 / 1 + 0.05 )^2 * 2..2 million
= 1.4 ( 0.98095 )^2 * 2.2 million
= 2.96378 million
For year 3
1.4 * ( 1 + 0.03 / 1 + 0.05 )^3 * 2.2 million
= 1.4 ( 0.98095 )^3 * 2.2 million
= 2.90733 million
Answer:
$192 million; $153.60 million; $38.40 million
Explanation:
Given that,
Direct material purchased = $80 million
Direct labor costs = $51 million
Manufacturing overhead = $77 million
Percent of the work-in-process completed = 80%
(1) Transfers-In:
= Direct materials + Direct labor costs + Manufacturing overhead
= (80% × $80 million) + $51 million + $77 million
= $64 million + $51 million + $77 million
= $192 million
(2) Transfer-out:
= Transfers-In × percent of the work-in-process completed
= $ 192 million × 80 %
= $ 153.60 million
(3) Ending Balance:
= Transfers-In - Transfer-out
= $192 million - $ 153.60 million
= $38.40
Answer:
a. H0 : U ≥ 15
Ha : U < 15
b. Type I error is incorrectly conclude that the pain is reduced in less than 15 minutes.
c. Type II error is fail to conclude that time for pain reduction is less than 15 mints when actually its less than 15 minutes.
Explanation:
Null hypothesis is a statement that is to be tested against the alternative hypothesis and then decision is taken whether to accept or reject the null hypothesis.
Type I error is one in which we reject a true null hypothesis.
Type II error is one in which we fail to reject the null hypothesis that is actually false.
