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Answer:
Results are below.
Explanation:
Match each of the following formulas and phrases with the term it describes.
A) (Actual Direct Labor Hours - Standard Direct Labor Hours) × Standard Rate per Hour
This is the formula for Direct labor time (efficiency) variance
B) (Actual Rate per Hour - Standard Rate per Hour) × Actual Hours
This is the formula for Direct labor rate variance
C) (Actual Price - Standard Price) × Actual Quantity
This is the formula for Direct materials price variance
D) (Actual Quantity - Standard Quantity) × Standard Price
This is the formula for Direct materials quantity variance
E) Standard variable overhead for actual units produced
Budgeted variable factory overhead
Answer:
trading company.
Explanation:
A trading company is the type of business that trades in different line of products and services, and sells to consumers, business, governments, etc. They purchase a particular range of product stock it and delivers to customers. They also cover operations and procedures that comes with import and exports, they can buy product from different countries and sell them in another country. This depends on their distribution network.
Answer: The unit Product cost is $32.09
Explanation:
$
Add : Direct Material. 35
Add: Direct Labour 16
-------------
Prime Cost. 51
Add: variable manufacturing overhead. 15
Add: Fixed manufacturing overhead. 24,000
-----------------
Production cost. 24,066
-------------------
To determine the unit Product cost for the year we will divide the production cost by the unit produced
Production cost ÷ unit produced
Since the the production cost is $24,066 and unit produced is 750unit
24,066÷ 750
= 32.088
= 32.09
Therefore the unit Product cost is $32.09
Answer: Option (a) is correct.
Explanation:
Correct Option: Panel data.
Panel data is a combination of cross sectional data and time series data. Panel data is mostly used for the regression analysis. In this type of data, one can observe multiple instances or scenarios at more than one time frame.
The information provided by this type of data can be categorized into parts:
(i) Cross-sectional Information
(ii) Time series Information