What do you mean by Marginal probailities under statistical dependence
statistical tools under parametric
when marginal revenue equal to marginal cost,when marginal cost curve cut marginal revenue curve from the below and when price is greter than average total cost
Under the Sun by Black Sabbath Under the Oak by Candlemass Under the Rose by HIM (marginal metal)
At this intersection point on a graph, firms will earn maximum profit, even if this point is under average total cost.
At this intersection point on a graph, firms will earn maximum profit, even if this point is under average total cost.
Land shuld be under 1 ha
yes
Since, in a perfectly competitive market, prices are fought down to Price = Marginal Cost, the only way to make a strict economic profit is to lower marginal cost.
Two independent outcomes with constant probabilities.
- The Marginal costing technique is appropriate for decision making as it highlights those costs (and revenues) which will change as a result of the decision under review being put into effect. - As fixed costs are mostly overheads, and, under marginal costing these are all treated as period costs and charged into the income statement therefore marginal costing avoids arbitrary allocation of overheads to units of output. - Reporting profit on a marginal costing basis will be more closely relates to changes in sales volume and are less affected by changes in inventory levels. - An understanding of the behavior of costs and the implications of contribution is vital for accountants and managers as the use of marginal costing for decision making is universal.
Using the most common breeding combination, fire + willow, the probability is just under 13%.
When we say that the trials of an experiment are independent, it means that the outcome of one trial does not affect the outcome of any other trial. In other words, the results are not influenced by previous results, and each trial operates under the same conditions with the same probabilities. This independence is crucial for many statistical analyses, as it allows for valid conclusions to be drawn from the data collected.