Answer:
a. It will increase.
b. It will decrease
c. It will decrease
d. it will increase.
Explanation:
If the price of an input needed for production of good X decreases, the cost of production of good X reduces. It becomes cheaper to produce good X and and as a result the supply of good X would increase.
An increase in tax increases the cost of production and makes production of good X more expensive. As a result, the supply of good X would fall.
technological change that reduces the cost of producing additional units of good X, would make the production of good X less expensive. As a result, the supply of good X would increase
Answer:
74.64%
Explanation:
Average sales (μ) = 50 hot dogs
Standard deviation (σ) = 7 hot dogs
In a normal distribution, the z-score for any given number of hot dogs sold, X, is determined by:

For X = 45 hot dogs:

For X = 65 hot dogs:

A z-score of -0.7143 falls in the 23.75th percentile of a normal distribution while a z-score of 2.1429 falls in the 98.39th percentile.
Therefore, the probability that he vendor will sell between 45 and 65 hot dogs is:

Answer:
The common problem i encounter mostly is the statistical modelling problem.
In this scenario we choose best combination of independent variables for the hypothesis testing. the independent variable shows the significant effect on dependent variable so we keep it in modelling.
My null hypothesis would be that there is no significant effect of independent variable on dependent variable. for my alternative hypothesis there exist is significant effect of independent variable on dependent variable.
Explanation:
The common problem I face daily is the statistical modelling problem which is the selection of relevant independent variable for prediction modelling.
In this example to select the best combination of independent variables we use hypothesis testing. if the independent variable has significant effect on dependent variable then the independent variable shows the significant effect on dependent variable so we keep it in modelling. In this way the model gets improved.
Since there are always two variables or two categories. hence it has a two sample test.
The Hypothesis can be shown below:
Null hypothesis:
H0: There is no significant effect of independent variable on dependent variable.
Alternative hypothesis:
Ha: There is significant effect of independent variable on dependent variable.
Answer:
$25,000
Explanation:
The value of inventory at the end of the end of the period will be equal to
Value of inventory = Cost of goods sent less the cost of goods already sold.
<em>Remember the arrangement is that of agency, hence the goods are not deemed to be sold except the agent has been able to exchange them for revenue in a sales contract with his own buyers.</em>
Also the sales commission would be reported under a separated ledger which will be reported as part of the operating expenses.
Amount of inventory = $105,000 - $80,000
= $25,000
Answer:
The correct answer is option (A) $42.00
Explanation:
Solution
Given that:
The established rate is given as = 100,000/40,000
= $2.5 per hour
Thus
The cost of the job is shown is shown below:
The direct material = $5,000
The direct labor = $2400
Then
The manufacturing overheard is = 400 * 2.5 = $1,000
So,
The total cost is = $5,000 + $2400 + $1000 = $8,400
To get our unit cost,
Unit cost = $8400/200 = $42.00
It is important to know that, the number of labor hours used in jobs = Total labor cost/Rate per hour
=2,400/6 = 400 hours