Answer:
$3.75
Explanation:
As we already know that
Direct materials quantity variance = (Budged pounds of direct material - Actual pounds of direct material) × Standard rate
$1,500 unfavorable = (4,400 pounds - 4,800 pounds) × Standard rate
$1,500 unfavorable = 400 × Standard rate
So, standard rate is
= $1,500 ÷ $400
= $3.75
We simply applied the above formula
Answer:
P-value is greater than the significance level, we fail to reject null hypothesis.
Explanation:
Here,
Sample size = n = 120
Sample proportion = p = 0.6500
Population Proportion =
= 0.5
Level of significance = α = 0.02
<u />
<u>Step 1:
</u>
: p = 0.5
: p < 0.5 (Left tailed test)
<u></u>
<u>Step 2:
</u>
The critical vale is = 2.0537
<u></u>
<u>Step 3: </u>
The test statistic is,
z = 
<u>Step 5:
</u>
Conclusion using critical value: Since the test statistic value is greater than the critical value, we fail to reject null hypothesis.
<u>Step 6: </u>
Conclusion using P-value: Since the P-value is greater than the significance level, we fail to reject the null hypothesis.
The benefits value of employees pay is 10- 20
Answer:
Information used to determine which products to produce
Explanation:
Determination of products whose production is not yet decided is a managerial issue, and it is part of internal information that should be not delivered to external parties. Furthermore, this data usually is not accurate, so sharing outside would not be even recommended for this sole reason.