The fixed budget indicates sales of $50,000. actual sales were $55,000. The variance is $5,000 favorable.
The variance is a measure of variability. it's far calculated by taking the average of squared deviations from the mean. Variance tells you the diploma of unfold in your information set. The more unfold the data, the larger the variance is in relation to the mean.
In opportunity idea and information, variance is the expectation of the squared deviation of a random variable from its populace imply or sample suggest. Variance is a measure of dispersion, that means it's far a degree of the way a long way a fixed of numbers is spread out from their average price.
Not like variety and interquartile range, variance is a measure of dispersion that takes into consideration the unfold of all information points in a data set. It is the degree of dispersion the most often used, in conjunction with the standard deviation, that is truly the rectangular root of the variance.
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I believe the answer is A
Answer:
<u>tutoring opportunity cost: </u>20,000 consulting job
<u>consulting job opportunity cost:</u> 5,000 + travel from tutoring
<u>collegue:</u> 20,000 consulting job
Explanation:
opportunity cost: cost of the best rejected project, proposal or income
income from work as a consulting job: 20,000
income from tutoring: 5,000 ( externality of travel around the world)
collegue cost of 5,000
The tutorng has an externality of travel around the world. We can measure how much Allison values that chances but it is something she will consider when picking her plan.
Answer:
True
Explanation:
Profit function would be maximised.
Profit = Revenue - Cost
Let units of both goods be = A ,B
Revenue per unit good A = 100
Revenue per unit good B = 90
Variable Cost per unit good A = 30
Variable Cost per unit good B = 25
Profit Function = (100 - 30)A + (90 - 35)B
= 60A + 65B
{The function is right without including 'average fixed cost' part of 'total cost' in the function because : average fixed cost is a constant & constant figure doesn't effect optimisation (via differentiation , ∵ d (c) = 0)
Analyze in food prices and personal items as well.
