Answer:
25%
Explanation:
Given: Sales= $10,000,000
Cost of goods sold= $5000000.
Pre-tax earning= $500000.
Merchandise inventory= $80000.
Total assets= $2000000.
Now, computing the value of return on assets.
Formula;
⇒
⇒
∴ Return on assets=
Hence, Flinger´s return on assets is 25%
Answer:
The answer is: true
Explanation:
Rational behaviour entails making decisions or taking actions that result in maximising utility or satisfaction. The time value of money dictates that the opportunity cost of foregoing earning potential today is the interest accrued on the savings for future use. A rational consumer who wants to maximise utility will always take the $2,000 dollar cash back since the implicit interest incurred by taking the 0% financing results in a lower future value (in 5 years).
Answer:
Dr Supplies Expense $4050
Cr Supplies $4050
Explanation:
Preparation for the appropriate adjusting journal entry to be made at the end of the period
Based on the information given we were told that the company made purchased of office supplies of the amount of $6300 in which the full supplies amount was debited which means that if at the end of the accounting period the physical count of office supplies shows the amount of $2250 The appropriate adjusting journal entry to be made at the end of the period would be:
Dr Supplies Expense $4,050
Cr Supplies $4,050
($6300-$2250)
a. Since it is a few selected 1000 Americans in the survey, it is more of a sample thing and it's too small to determine for whole of america.
b. Standard deviation = square root of p(1-p)/n, p is 39/100, n = 1000 SD =square root of 0.39 (1 - 0.39) / 1000 => SD = square root of 0.2379 /
1000
SD = 0.0154
c. From the z value table critical avlue for a 90% confidence interval is 1.645
d. From the z value table critical avlue for a 95% confidence interval is 1.96
e. For 90% z = 1.645, P = 0.39, SD = 0.0154
CI = P +- z(SD) => CI = 0.39 +- 1.645(0.154) => 0.39 +- 0.0253
So the interval is (0.364, 0.415)
f. For 95% z = 1.96, P = 0.39, SD = 0.0154
CI = P +- z(SD) => CI = 0.39 +- 1.96(0.154) => 0.39 +- 0.0302
So the interval is (0.359, 0.420)
Answer:
Advertising sales agents work on holidays and weekends because that is when people buy. For example, during Christmas they are working advertising products so people will buy for Chirstmas. It is the biggest part of the year where people buy products and they need to work to advertise to consumers to buy their products.