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The F–test
The significance of the regression results can be tested by using the F- statistics. The F-statistics is a ratio which compares the explained sum of squares and the unexplained sum of squares.Therefore, F = mean sum of squares due to regression Mean sum of squares due to residualFor calculation purposes:F = r2 /K (1 – r2)/n-k-1F statistics can then be used to test the hypothesis that the relationship between the dependent variables and all the independent variables is not significant.
Transfer pricing with third party consequences Transfer prices are used not only for internal record keeping and performance evaluation purposes. There are several settings
It is a commitment by a bank to lend a specific amount of funds on demand identifies the maximum amount of unsecured credit the bank will allow the customer to borrow at any time.
The emerging financial scenario has made a fierce competition among the companies to raise funds by innovative financial products by the capital and or money markets. Moreover sour
MAKE OR BUY DECISIONS (NO LIMITING FACTORS) The choice between making and buying a given component is one which is likely to face all businesses at some time. It is often one
EOQ mathematical model As costs of ordering and holding stock are equal at the EOQ point, we can build a simple mathematical model to solve the problem, as follows: (Q/ 2) X
solutions for (POS) slow printing of sales tickets and unpredictable action of cash drawers. when credit approvals delayed the checkout process or when the computer was down, thus
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Limitation of break even charts Despite many advantages a break even chart suffers from the following limitations: 1) A break even chart is based upon a number of assumption
Ask queThe standard cost of chemical mixture ~ PQ’ is as follows: 40% of material P @ Rs. 400 per kg. 60% of material Q @ Rs. 600 per kg. A standard loss of 10% is normally anticip
THE BASIC EOQ MODEL This is the most simple of all the models discussed. In addition to the general assumptions which relate to all deterministic models (i.e. certainty of all
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