In a within-groups design, there are two types of this design which are:
- The repeated-measures design
- The concurrent-measures design
<h3>What is within-groups design?</h3>
A within-groups design is known to be a kind of an experimental design that is one where each participant is said to often experiences the total levels of the independent variable.
Note that there are two types of this design which is the repeated-measures design whose role is to measure or one where participants are said to be opened to a lot of levels of the independent variable and they are known to be tested on the dependent variable after every exposure.
The second is said to be the concurrent-measures design and this is one where participants are said to communicate with the different levels of the independent variable in a simultaneous way..
Hence, In a within-groups design, there are two types of this design which are:
- The repeated-measures design
- The concurrent-measures design
Learn more about concurrent-measures design from
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Answer:
b.$6.00
Explanation:
The contribution margin is the difference between the sales and variable cost. The difference between the unit sales and unit variable cost thus gives the contribution margin per unit.
Total variable cost per unit includes both direct and indirect cost.
variable cost per unit = $1.50 + $1.20 + 0.90 + 0.40
= $4.00
contribution margin per unit
= $10.00 - $4.00
= $6.00
Answer: d. leaves the sender's control.
Explanation:
Under the Uniform Electronic Transaction Act(UETA), there are three conditions that must be met for an e-record to be considered sent and the relevant one here is that the e-record leaves the control of the sender.
It does this by entering into an information processing system that the sender does not control of.
The other requirements demand that the e-record be properly addressed to a system specified by the recipient and this system must be able to process said e-record.
Answer:
D. Treasury, Banc Ono, IBM, Trump Casino
Explanation:
Answer:
D. $ 16 comma 862.50 unfavorable
Explanation:
The computation of the direct labor efficiency variance is shown below:
Direct labor efficiency variance is
= Standard rate × (Actual hours - standard hours)
= $9.50 × (3,000 direct labor hours - 4,900 units × 0.25 hours)
= $9.50 × (3,000 direct labor hours - 1,225 direct labor hours)
= $16,862.50 unfavorable
As actual hours is more than the standard hours which reflects the unfavorable variance and if actual hours is less than the standard hours then it would leads to favorable variance