Based on the students who passed, the probability that a random student gets an A in Statistics or Psychology or both is 0.226.
The probability that a random student did not get an A in Psychology is 0.84.
<h3>What are the probabilities of getting an A in psychology?</h3>
In order to find out the probability that a person got an A in either Statistics, Psychology, or both, the formula is:
= Probability of A in Psychology + Probability of A in Statistics - ( Probability of A in Psychology and Statistics)
= (80 / 500) + (82 / 500) - ( 49 / 500)
= 0.16 + 0.164 - 0.098
= 0.226
The probability of not getting an A in Psychology is:
= 1 - Probability of A in Psychology
= 1 - (80 / 500)
= 0.84
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Answer:
$6,000 underapplied
Explanation:
The computation of the amount overapplied or under applied is shown below:-
Amount applied = Applied manufacturing overhead - (Indirect materials + Indirect labor + other OH costs incurred
)
= $218,000 - {($84,000 - $72,000) + ($108,000 - $105,000) + $197,000 }
= $218,000 $12,000 + $3,000 + $197,000
= $218,000 - $212,000
= $6,000
Therefore for computing the amount under applied we simply applied the above formula.
Answer:
C. Problem-cause-solution
Explanation:
A problem-cause-solution pattern is an approach of critical thinking that is factual and evaluative. The pattern is used in presentations, writing case studies, and scientific reports. Academicians and business people use this pattern in submitting their proposals.
The pattern first defines the problems. Analysis and diagnosis then follow. The stage involves an evaluation of processes and causes that contribute to the problem. Lastly, the pattern suggests solutions to the discussed challenges.
Answer:
B) As we increase the fraction invested in the efficient portfolio, we increase our risk premium but not our risk proportionately.
Explanation:
In this case we increase our risk also proportionaly same as risk premium. There is a trade-off when we face this decisions about portfolios.
Answer:
Direct labor rate variance = Direct labor variance - Direct labor efficiency variance
Explanation:
Direct labor rate variance
Direct labor efficiency variance
Computation:
Direct labor rate variance = Direct labor variance - Direct labor efficiency variance