Answer:
price variance $3,300.00
quantity variance $(3,450.00)
rate variance $(500.00)
efficiency variance $(3,225.00)
Explanation:
DIRECT MATERIALS VARIANCES
std cost $2.30
actual cost $2.10
quantity 16,500
difference $0.20
price variance $3,300.00
std quantity 15000.00
actual quantity 16500.00
std cost $2.30
difference -1500.00
quantity variance $(3,450.00)
DIRECT labor VARIANCES
std rate $7.50
actual rate $8.50 (4,250 / 500 hours)
actual hours 500
difference $(1.00)
rate variance $(500.00)
std hours 70.00
actual hours 500.00
std rate $7.50
difference -430.00
efficiency variance $(3,225.00)
Answer:
net income increase = $ 100,000
Explanation:
Find the attachment
Answer:
exact actual growth rate of your purchasing power was 4.8%
Explanation:
given data
nominal rate of interest = 10%
inflation rate = 5%
solution
we get here exact actual growth rate that is express as
exact actual growth rate = ..........................1
put here value and we will get
exact actual growth rate =
exact actual growth rate = 4.8 %
so here exact actual growth rate of your purchasing power was 4.8%
Answer:
The correct answer is letter "E": Efficiency.
Explanation:
The American Academy of Professional Coders (AAPC) is the organization in the U.S. in charge of certifying administrative workers of the healthcare system such as <em>billers, coders, </em>and <em>practice managers</em>. The certifications the AAPC provides are <em>medical coding, medical auditing, physician practice management</em>, just to mention a few.
Within its code, the AAPC establishes five (5) principles of professional conduct which are <em>integrity, respect, commitment, competence, </em>and <em>fairness</em>. Efficiency is not one of them.
Answer:
14.34%
Explanation:
To find the percentage of returned surveys over the total we divide and then multiply:
(717/5000)*100= 14.34%
The response rate appears to be low because it is less than 50% (which would be 2500 return surveys). Some statistical studies agree that 30 is the minimum number of observations a study must have, but this number does not ensure statistically significant results.
The problem with a very low response rate is that survey´s answers does not significant represent the study population characteristics and so we cannot make inferences, correlations or regressions that are statistically significant. In this case, the conclusions that scientists make about association between the left-handed population and right-handed population with the use of cell phone calls could be wrong or not represent the population characteristics, which means answers are not trustful.