TAILIEUCHUNG - Lecture Fundamentals of cost accounting - Chapter 16: Fundamentals of variance analysis

In this chapter, students will be able to understand: Use budgets for performance evaluation; develop and use flexible budgets; compute and interpret the sales activity variance; prepare and use a profit variance analysis; compute and use variable cost variances; compute and use fixed cost variances; from the appendix, understand how to record costs in a standard costing system. | Fundamentals of Variance Analysis Chapter 16 Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin In Chapter 13 we discussed the development of the master budget as a first step in the budgetary planning and control cycle. The budgeting process provides a means to coordinate activities among units of the organization, to communicate the organization’s goals to individual units, and to ensure adequate resources are available to carry out planned activities. While this planning aspect of the budget is important, it is not the only role budgets can play. In the control and evaluation activity, the performance of units and managers is evaluated and actions are taken in an attempt to improve performance. As we discussed in Chapter 14, evaluation requires a benchmark against which to measure performance. One benchmark for measuring performance is the budget. In this chapter, and in Chapter 17, we use the budgets to evaluate performance. Using Budgets for Performance Evaluation . 1 Use budgets for performance evaluation. Operating budgets: Budgeted income statement, production budget, budgeted cost of goods sold, and supporting budgets Financial budgets: Budgets of financial resources; for example, the cash budget and the budgeted balance sheet Variance: Difference between planned result and actual outcome 16 - The master budget that we prepared in Chapter 13 included operating budgets, a budgeted income statement, production budget, budgeted cost of goods sold, and supporting budgets and financial budgets that identify financial resources; for example, the cash budget and the budgeted balance sheet. In performance evaluation, we study variances and the difference between planned and actual results. Profit Variance LO1 Bayou Division Budget and Actual Results August Sales (units) Sales revenue Less: Variable costs Variable mfg. costs Variable selling and administrative Total variable costs Contribution margin Fixed .

• Kế toán - Kiểm toán
• Variance analysis
• Cost accounting
• Fundamentals of cost accounting
• Cost analysis
• Cost management systems
• Management control systems
• Profit variance analysis
• Lecture Basic Statistics
• Bài giảng Thống kê cơ bản
• Repeated measures analysis of variance
• Analysis of variance
• Individual differences
• The denominator of the F‑ratio
• Two factor analysis of variance
• Two factor designs
• Factorial designs
• Fruit yield
• Genetic analysis of variance
• Sponge gourd
• Sponge gourd [Luffa cylindrica (Roem ) L ]
• Analysis of variance fruit yield
• Statistical techniques
• Statistical techniques in business
• Statistical techniques in economics
• Descriptive statistics
• F distribution
• Statistics for business
• Describing data
• Equal variances
• Basic statistics
• Confidence interval
• Mean performance
• Zea mays L
• Twelve characters studied in maize
• Maize (Zea mays L )
• Diallel analysis
• Combining ability effects
• GCA variance
• SCA variance
• Over environments
• Experimentwise α level
• Measuring effect size
• The scheffe test
• Nuclear engineering and technology
• Analysis of inconsistent source sampling
• Monte carlo weight window variance reduction methods
• Moderate levels of splitting and roulettin
• The consistent adjoint driven importance sampling
• Genetic variance
• Lady finger
• Genetic parameters
• Recessive alleles
• Abelmoschus esculentus L
• Genetic advance
• Genotypic coefficient of variation
• Genotypic variance
• Phenotypic coefficient of variation
• phenotypic variance
• Line × tester
• Yield contributing traits in tomato
• Heterotic expression studies
• BMC Genomics
• Genetic connectedness
• Prediction error of variance
• Variance of unit effect estimates
• Whole genome prediction
• Agricultural species
• Differentially expressed genes
• Between study variance
• Random effects model
• Meta analysis
• Alzheimer’s microarray datasets
• Agricultural science
• Separation of genetic variance components
• Eight faba bean genotypes
• Combining ability
• Twenty eight crosses
• Variance component analysis
• Functional genomics
• Enrichment or depletion analysis
• Regulatory genome
• Splice sites
• DNA methylated regions
• Half diallel
• Yield component
• Half diallel analysis in cowpea
• Analysis of variance for diallel analysis
• Components traits in cowpea
• BMC Bioinformatics
• Mass spectrometry
• Validation biomarkers
• Technical variability
• Experimental design
• Nonparametric statistics
• Additional topics
• Regression analysis
• Multiple variable regression analysis
• Two variable regression analysis
• Quantitative Investment Analysis
• Investment process
• Quantitative methods
• Cash flow
• Mean variance analysis
• Efficient portfolios