Answer:
a. Ratio of fixed assets to long-term liabilities
= <u>Fixed assets </u> x 100
Long-term liabilities
= <u>$3,200,000</u> x 100
$2,000,000
= 160%
b. Ratio of liabilities to shareholders' equity
= <u>Total liabilities</u> x 100
Shareholders' equity
= <u>$3,000,000</u> x 100
$5,000,000
= 60%
c. Asset turnover
= <u>Sales</u>
Total assets
= <u>$18,750,000</u>
$7,000,000
= 3 times
d. Return on total assets
= <u>Net income</u> x 100
Total assets
= $930,000 x 100
$7,000,000
= 13.29%
Explanation:
The ratio of fixed assets to long term liabilities equals fixed assets divided by long-term liabilities multiplied by 100.
Ratio of liabilities to stockholders' equity equals total liabilities divided by total stockholders' equity multiplied by 100. The total liability is equal to current liabilities plus long-term liabilities.
Asset turnover equals sales divided by total assets.
Return on total assets equals net income divided by total assets multiplied by 100.
Answer:
- 2017 Price Index is 100
- 2018 Price Index is 111
Explanation:
The Price Index for any given Base year is always 100. 2017 is staed to be the base year so it's price index is 100.
2018
The Student Price Index can be calculated using the formula;
SPI = 
= 
* 100
= 
= 111.21
= 111
Answer:
B
Explanation:
Had the same question and it was the correct answer
Answer:
The correct answer is a) distributional.
Explanation:
The standard error is the standard deviation of the sample distribution of a sample statistic.1 The term also refers to an estimate of the standard deviation, derived from a particular sample used to compute the estimate.
The sample mean is the usual estimator of a population mean. However, different samples chosen from the same population tend in general to give different values of sample means. The standard error of the mean (that is, the error due to the estimation of the population mean from the sample means) is the standard deviation of all possible samples (of a given size) chosen from that population. In addition, the standard error of the mean can refer to an estimate of the standard deviation, calculated from a sample of data that is being analyzed at the same time.
