IS STANDARD COSTING OBSOLETE? Department of Accountancy University of Kelaniya What is Standard costing? Standard costing is technique which establishes predetermined estimates of the costs of products and services and then compares these predetermined costs with actual costs as they are incurred. Management Accounting 2 What is Variance? The difference between a cost’s actual amount and its budgeted or planned amount Unfavorable cost variance Actual cost > Budgeted Amount Favorable cost
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score decreases by -0.347 average number of hours per week. Next‚ we have to interpret the random error component ( ) of the least squares line. The estimate of error standard deviation for this particular data set is 12.28455 which suggests that the work-life balance score (y) values should be two times of the standard deviation. This can be best expressed as in the equation of 2s = 2(12.28455) which equals 24.57 average hours per week. Then‚ we can analyze the accuracy of hypothesis model to
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Case 2: Gulf Real Estate Properties. Please provide a Managerial Report that includes: 1. Appropriate descriptive statistics to summarize each of the three variables for the forty Gulf View condominiums 2. Appropriate descriptive statistics to summarize each of the three variables for the eighteen No-Gulf View condominiums 3. Comparison of your summary results from #1 & #2. Discuss any specific statistical results that would help a real estate agent understand the condominium market. 4. A 95%
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in analysing the data is determining if outliers exists within the data. The presence of outliers must be evaluated because their existence could distort the data and make it inaccurate. In order to determine if outliers exist the average and standard deviation must be calculated in order to calculate the Z score‚ which will show‚ wither or not outliers exist. In this instance to outliers where found present in the data set as all of the data fell within the +3‚-3 range‚ the largest positive outlier
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9551/SQRT(300)‚1) = 0.0783 (c) A circuit contains three resistors wired in series. Each is rated at 6 ohms. Suppose‚ however‚ that the true resistance of each one is a normally distributed random variable with a mean of 6 ohms and a standard deviation of 0.3 ohm. What is the probability that the combined resistance will exceed 19 ohms? How "precise" would the manufacturing process have to be to make the probability less than 0.005 that the combined resistance of the circuit would exceed 19
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to obtain the highest overall reliability? 17. A major television manufacturer has determined that its 19-inch color TV picture tubes have a mean service life that can be modeled by a normal distribution with a mean of six years and a standard deviation of one-half year. a. What probability can you assign to service lives of at least (1) Five years? (2) Six years? (3) Seven and one-half years? b. If the manufacturer offers service contracts of four years on these picture tubes‚ what percentage
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Part 1 of 1 - | Question 1 of 10 | 1.0 Points | Consider the following scenario in answering questions 1 through 4. Results from previous studies showed 79% of all high school seniors from a certain city plan to attend college after graduation. A random sample of 200 high school seniors from this city reveals that 162 plan to attend college. Does this indicate that the percentage has increased from that of previous studies? Test at the 5% level of significance. State the null and alternative
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Inferences for One Population Standard Deviation The Standard deviation is a measure of the variation (or spread) of a data set. For a variable x‚ the standard deviation of all possible observations for the entire population is called the population standard deviation or standard deviation of the variable x. It is denoted σx or‚ when no confusion will arise‚ simply σ. Suppose that we want to obtain information about a population standard deviation. If the population is small‚ we can often determine
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Real-world Business Analysis Contents The Business Model 3 Uncontested Market Space Strategy—First Pass 3 General Force and Customer Analysis 4 Customer Analysis 5 Relative Core Competency and Resource Analysis 7 Metrics Tactical Plan 10 General Approach to Leadership and Culture 13 Six Paths Analysis 15 Strategy Canvas Analysis 17 Four Actions Grid Analysis 20 Noncustomer Analysis 21 Buyer Utility Map 22 Price Corridor Analysis 24 BOI Index Table 25 Three E Fair Process Analysis
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Exercise 16: Mean and Standard Deviation 1. The null hypothesis would be: There is no difference in levels of empowerment‚ self-care and efficacy‚ or depression in patients with end stage renal disease that have attended an empowerment program. 2. The average baseline depression score in the experimental group was 14.00. This value is pulled from the Mean Column 3. The baseline number for the self-care and efficacy patients was 89.56‚ where posttest numbers are 96.00. This should
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