Answer: verifiable
Explanation:
A financial information is verifiable when the independent measurers get similar results when using the same accounting measurement methods.
In this scenario, the independent measures use thesame method but do their work separately without them knowing the results gotten by the other person. When there's similarity in the results, it shows that the results are verifiable.
The answer to the first one would be higher costs and the answer to the second would be more i hope this is right and helps you
Answer:
See bellow
Explanation:
With regards to the above, Rouse total stockholder's equity is computed as;
= Preferred stock + common stock + paid in capital in excess of par (preferred stock and common stock) + retained earnings - Treasury stock
= $150,000 + $1,950,000 + $60,000 + $27,000,000 + $7,650,000 - $630,000
= $53,730,000
Answer:
The correct answer is letter "D": A and C.
Explanation:
Utility is the satisfaction or joy an individual perceives by consuming a given good or service. Marginal utility is the satisfaction perceived by consuming one more unit of a good or receiving a service one more time. Total utility is the aggregate utility as a result of adding the number of goods or services consumed.
<em>When marginal utility starts falling, total utility could still be rising since even if the consumer is not enjoying the same way the consumption of a good the individual is still adding more units to the consumption. However, there will a point in which the consumption of the good will not represent any satisfaction to the individual not adding more units anymore, thus, total utility starts dropping.</em>
Answer: b. False
All analysis of variance procedures <em><u>assume</u></em> that the compared populations have equal variances.
In all analysis of variance procedures, tests like F-test, Bartlett’s test, Levene’s test and Brown-Forsythe test are used to verify or test the assumption if k samples are from populations with equal variances.
When two or more populations have equal variances, we say that homoscedasticity or homogeneity of variances exist.
The F-test and Bartlett’s test yield best results only if the population is normally distributed. However, Levene’s test and Brown-Forsythe are known to yield good results for data that is not normally
distributed.