A method that a home inspector uses in report writing.
Answer:
True (Dead-weight loss )
Explanation:
When the market is not allowed to adjust towards the equilibrium the economics efficiency is lost. When the supply is excessive compared to demand some part of supply remains intact, which means that small of amount of supply does not contribute to economics and allocation efficiency and considered as a dead-weight loss. The supply is forgone because the market is not allowed to stabilise.
Answer:
The correct answer is D
Explanation:
The journal entry which is to be posted on December 31, is as:
Rent receivable A/c............................Dr $4,400
Rent Earned A/c...............................Cr $4,400
As the two months rent is not paid so the adjusting entry which is to be posted is that the rent receivable account is debited whereas the rent earned account is credited with the amount of two months rent. (which is $2,200 + $2,200 = $4,400).
Answer:
13.28%
Explanation:
return on stockholders' equity = net income after taxes and preferred stock dividends / average stockholders' equity
- net income = $1,429,000
- preferred stocks dividends = 8,000 stocks x $75 x 6% = $36,000
- average stockholders' equity = ($10,317,000 + $10,662,000) / 2 = $10,489,500
return on stockholders' equity = ($1,429,000 - $36,000) / $10,489,500 = 13.28%
<u>Measures of dispersion are often used in finance as a proxy for risk:</u>
Measures of dispersion are generally used to describe the variability in sample. The three commonly used measures of dispersion are as follows,
- Interquartile range - Difference between the
and 
percentile (also known as the 
and 
quartile). The formula is 
- Range - Difference between the largest and smallest observation. The formula is
- Standard deviation - SD is the square root of sum of squared deviation from the mean divided by the number of observations. The formula is as follows,
Appropriate usage of measures of dispersion:
Median and interquartile range is used for skewed numerical data, ordinal data or mean. When mean is utilized as a measure of central tendency or symmetric numerical data, SD is used.
Usage in finance:
In finance, the Regression analysis technique helps in explaining the dispersion of dependent variable, that is measured by its variance, with the help of one or more independent variables each of which has positive dispersion. This proves to be a proxy for risk.
