STANDARD COSTING (VARIANCES) 1.1 Material costs variance = (Standard quantity x Standard Price) – (Actual quantity x Actual price) MCV = (SQ × SP) – (AQ × AP) 1.2 Material price variance = Actual quantity × (Standard price – Actual price) MPV = AQ × (SP – AP) 1.3 Material usage variance = Standard price (Standard quantity – Actual quantity) MUV = SP × (SQ –AQ) 1.4 Material cost variance = Material usage variance + Material price variance MCV = MUV + MPV 1. Material Variance Material usage
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Physics Investigation A Formula 1 Margarine Tub Aim: I am going to investigate how the mass of a margarine tub affects the distance it can travel. The following Factors will affect the distance the tub can travel: · Surface area of the tub · Air Resistance · Force applied to propel tub · Length of elastic bands used to propel tub · Surface on which tub will travel Prediction I predict that as the mass of the tub increases‚ the distance the tub can travel will decrease. This
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Standard Costing and Variance Analysis Formulas: Learning Objective of the article: 1. Learn the formulas to calculate direct materials‚ direct labor and factory overhead variances. This is a collection of variance formulas / equations which can help you calculate variances for direct materials‚ direct labor‚ and factory overhead. 1. Direct materials variances formulas 2. Direct labor variances formulas 3. Factory overhead variances formulas Direct Materials Variances: Materials
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Empirical Formula of a Compound INTRODUCTION Chemical formulas indicate the composition of compounds. A formula that gives only the simplest ratio of the relative number of atoms in a compound is the empirical formula or simplest formula. The ratio usually consists of small whole numbers. We call a formula that gives the actual numbers of each type of atom in a compound the molecular formula. The numbers in a molecular formula will be whole number multiples of the numbers in an empirical formula. To determine
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More races‚ more teams‚ and a newly approved track circuit. Formula One is back to life with a newly approved circuit for future Formula One races‚ FIA‚ Formula One’s governing body‚ has officially confirmed that the New York-based Watkins Glen circuit has been approved by the FIA for Formula 1 World Championship races on its twitter. FIA race director Charlie Whiting has been convinced of the renovations and development works done to the New York-based race circuit. The FIA has been strongly
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A) January 18‚ 2011B) Empirical Formula C) The purpose is to determine the empirical formula of a metallic oxide. D) Pre Lab Questions: After heating the metal‚ the crucible and contents should mass less than it did before it was heated. This is because heating the crucible may rid of other residue that was left in it; bringing it a to a constant mass. A yellow flame will deposit soot on the crucible. This would be a problem because the soot left on the crucible would vary from our constant
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LeSuer and his colleagues‚ and evaluated the accuracy of seven prediction equations‚ but only three equations were used for this lab.2 Each of the formulas for predicting maximum bench press performance significantly underestimated the achieved 1 RM performance. The average achieved bench press 1 RM value was 137.0 lbs. The Brzycki equation estimated the average 1 RM would be 131.9 lbs‚ with a 4.00%
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Top-up Degrees (Entry to year 3 – UK Universities) Acceptance to a university programme is at the discretion of the individual university Top-up degrees are of one year duration‚ entering onto the final year of the full time undergraduate BA / BSc Honours degrees. Students who have an HND (Higher National Diploma) may progress onto the final year of a degree programme‚ subject to unit grade performance at HND‚ and English language capability (usually IELTS 6.0) The following universities
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2014 HIGHER SCHOOL CERTIFIC ATE EXAMINATION Mathematics General 2 FORMULAE AND DATA SHEET Financial Mathematics Data Analysis Simple interest Mean of a sample I = Prn P r n x= sum of scores number of scores is initial amount is interest rate per period‚ expressed as a decimal is number of periods z-score For any score x‚ z= Compound interest A = P (1 + r ) A P r n n x s is final amount is initial amount is mean is standard deviation
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REGRESSION 1. Prediction Equation 2. Sample Slope SSx= ∑ x2- (∑ x)2/n SSxy= ∑ xy- ∑ x*∑ y/n 3. Sample Y Intercept 4. Coeff. Of Determination 5. Std. Error of Estimate 6. Standard Error of 0 and 1 7. Test Statistic 8. Confidence Interval of 0 and 1 9. Confidence interval for mean value of Y given x 10. Prediction interval for a randomly chosen value of Y given x 11. Coeff. of Correlation 12. Adjusted R2 13. Variance Inflation
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