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Answer: A reversing entry: <em><u>"is the exact opposite of an adjusting entry made in a previous period.".</u></em>
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Explanation: Reversion entries are an end-of-the-year technique that involves the reversal, on the first day of the new accounting period, of those end-of-year adjustment entries that cause expenses or income and therefore will result in payments or cash receipts. Its purpose is to allow company personnel to record routine transactions in a standard manner without referring to previous adjustment entries.
The answer is
D. Pre-incident activities include planning to prepare and establish a JIC in every incident requiring emergency response.
Answer:
c. measures changes in quantity demanded more accurately than elasticity.
Explanation:
Base on the scenario been described in the question, slope measures changes in quantity demanded very accurately compared to elasticity. The main for this reason is that m, slope and elasticity are not the same concepts. Slope evaluates the
flatness or steepness of a line in terms of the evaluating units for price and quantity, while elasticity evaluates the relative response of quantity to changes in price.
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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