Answer:
$940 Favorable
Explanation:
Fixed manufacturing overhead budget Variance = Budgeted fixed overhead cost - Actual total fixed manufacturing overhead cost
Fixed manufacturing overhead budget Variance = $71,500 - $70,560
Fixed manufacturing overhead budget Variance = $940 F
So, the fixed manufacturing overhead budget variance for the period is closest to $940 F
C
A low GDP for two or more consecutive quarters is usually followed by economic contraction.
Based on the percentage of readers who own a particular make of the car and the random sample, we can infer that there is sufficient evidence at a 0.02 level to support the executive claim.
<h3>What is the evidence to support the executive's claim?</h3>
The hypothesis is:
Null hypothesis : P = 0.55
Alternate hypothesis : P ≠ 0.55
We then need to find the test statistic:
= (Probability found by marketing executive - Probability from publisher) / √( (Probability from publisher x (1 - Probability from publisher))/ number of people sampled
= (0.46 - 0.55) / √(( 0.55 x ( 1 - 0.55)) / 200
= -2.56
Using this z value as the test statistic, perform a two-tailed test to show:
= P( Z < -2.56) + P(Z > 2.56)
= 0.0052 + 0.0052
= 0.0104
The p-value is 0.0104 which is less than the significance level of 0.02. This means that we reject the null hypothesis.
The Marketing executive was correct.
Find out more on the null and alternate hypothesis at brainly.com/question/25263462
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Answer:
1. 28.09 %
2.0.50 times
3.13.97 %
Explanation:
Margin = Profit / Sales × 100
= $ 5,000,000 / $ 17,800,000 × 100
= 28.09 % (2 decimal places.)
Turnover = Sales / Total Assets
= $ 17,800,000 / $ 35,800,000
= 0.50 times (2 decimal places.)
Return on investment = Divisional Profit Contribution / Assets employed in the division × 100
= $ 5,000,000 / $ 35,800,000 × 100
= 13.97 % (2 decimal places.)
