Answer:
4400 Unfavorable
Explanation:
Calculation to determine the labor rate variance for the month
First step is to calculate the Standard hours using this formula
Standard hours = Standard labor-hours per unit of output*Actual output
Let plug in the formula
Standard hours= 4.5*1,300 units
Standard hours= 5850
Now let calculate the Direct labor efficiency variance using this formula
Direct labor efficiency variance = (Standard hours - Actual hours)*Standard rate
Let plug in the formula
Direct labor efficiency variance= (5,850-6,100)*17.60
Direct labor efficiency variance= 4400 Unfavorable
Therefore the labor rate variance for the month is 4400 Unfavorable
The answer & explanation for this question is given in the attachment below.
Answer:
Explanation:
Net sales - $894,250
Cost of Goods - $ 616850
Average account receivable - $40,650
Account receivable at year end - $28200
Average inventory - $182000
Inventory at year end - $158,000
Inventory turn over
Cost of Goods sold / Average inventory for the period
616850/182000= 3.40 times
No of days sales in inventory = Ending inventory / Cost of Goods sold *365
158000/616850*365 = 93.5 days
Account receivable turnover = net credit sale / average receivable
894250/40650=21.9
No of days sales in account receivable -
Receivable at year end/total credit sales*365
28200/894250*365= 11.5 days
Answer:
87 because he
Explanation: add then multiply;
The questions which would result in data that is categorical are:
- Is your job as an IT administrator stressful?
- What is your biggest source of stress?
- How has your job impacted your personal life?
- Have you ever considered switching careers because of on-the-job stress?
<h3>What is a numerical data?</h3>
A numerical data is also referred to as a quantitative data and it can be defined as a data set that is primarily expressed in numbers only. This ultimately implies that, a numerical data refers to a data set consisting of numbers rather than words.
<h3>What is a categorical data?</h3>
A categorical data can be defined as a type of statistical data that is used to group information that are having the same attributes or characteristics.
In Science, some examples of a categorical data include the following:
- Age
- Gender
- Race
- Religion
- Class
In conclusion we can infer and logically deduce that the questions above would result in data that is categorical.
Read more on categorical data here: brainly.com/question/20038845
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