Answer:
The correct answer is letter "D": the output effect works to increase total revenue and the price effect works to decrease total revenue.
Explanation:
The output effect in a monopoly takes place when the price of input will raise the production costs of a business and reduce its output level and vice-versa. The price effect refers to the impact an activity has on the value of something. The price effect consists of the effect of substitution and the effect of profits. While the output effect has the purpose of increasing revenue, the price effect works towards decreasing it.
Answer: Negative Sales Mix Variance
Explanation:
With regards to the above question, the company has a negative sales mix variance. First and foremost, we should know that the sales mix variance simply has to do with the difference between the actual sales mix and the budgeted sales mix of a company or organization.
From the question, there'll be negative sales mix variance and this will bring about a reduction in the revenue of the company as the budgeted sales will be lesser than actual sales. Therefore, Profit also reduces.
Answer:
the company purchase is $94,000
Explanation:
The computation of the total amount of the company merchanise purchase for the month is shown below:
Cost of goods sold = Beginning merchandise inventory + Purchases − Ending merchandise inventory
$92,000 = $14,000 + Purchase - $16,000
So, the purchase is
= $92,000 + $16,000 - $14,000
= $94,000
Hence, the company purchase is $94,000
Answer:
networkers
Explanation:
Corporate managers who supervise, coach, and guide lower-level employees and serve as their organizational sponsors are called: networkers.
The correct answer is - allows managers to use the normal distribution as the basis for building some control charts.
<u>Explanation:</u>
It is the theorem that allows inference from a random sample. It says that:
• The sample mean will likely be towards the population mean within a margin of error
• The margin of error is a multiple of the standard error, which is the standard deviation divided by the square root of the sample size. The multiple is determined by the degree of statistical confidence you’re looking for, and the normal deviate corresponding to that — 1.65 for 90% confidence, 1.96 for 95% confidence, etc.
