Tutorial Workshop Report Analysis‚ Interpretation & Managerial Guidance RBUS2900 Jake Lambert 42354066 Due: 22/10/2012 Table of contents Page no. 1.0 Task 1 - Catalogue Data 3 1.1 Cross Tabulations 3 1.2 Correlation Analysis 5 1.3 Chi Square test 5 2.0 Task 2 - Clothing Expenditure 7 2.1Indepdant t-test 7 2.2 Grouped t-test 8 3.0 Task 3 - Graduate Pay 8 3.1 ANOVA 1 8 3.2 ANOVA 2
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6.2.5 Statistical analysis The values are expressed as mean ± SEM. The statistical analysis was carried out by one-way analysis of variance using SPSS (version 17) statistical analysis program. Duncan’s post hoc multiple comparison tests were used to determine significant differences among groups. P < 0.05 was considered to be significant. 6.3 Results 6.3.1 Liver function tests Liver toxicity markers were assayed to assess hepatic injury. The activities of alkaline phosphatase (ALP)‚ acid phosphatase
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dealing with profitability‚ every company has to make a good decision. It is quite critical for manager to use the variance analysis tools properly. By using variance‚ managers can make adjustment on their company performance in order to achieve the highest profit. Variance is actually a difference between actual and what planned. What we plan is also called budgeted. Variances analysis is so important when there are a planning and controlling management. They help managers in sketching their strategies
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Running head: VARIANCE ANALYSIS Variance Analysis Amilca Simeon Grand Canyon University Variance Analysis This is a paper to explain the variance in the monthly budget for the hospital department. This will determine if the budget cause our department to run efficient and effective. While the variance analysis is the best way to measure performance the results in the monthly budget showed that salaries were higher and supplies came in lower. What variances allowed salaries
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Variance Analysis: Year 6 In this part of the report‚ we analyze the variances between our pro-forma statements we had projected and the actual results we received from the BPG game. Looking at the variances‚ it can be seen that most of the numbers compared are not too far apart from each other when comparing our actual numbers to the projected analysis. This is due to the fact our forecast was successful. It was however not 100% accurate in terms of predicting our future numbers. Looking at the
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ACT 5060 – Accounting for Decision Makers. Submitted to: Dr. Wonnell Submitted by: Daniel Castelblanco N01377525 7975 SW 86 St. Miami‚ FL 33143 Cell: (786) 546-5408 Date of Submission: September 7‚ 2012 Title of Assignment: Variance Analysis CERTIFICATION OF AUTHORSHIP: I certify that I am the author of this paper and that any assistance I received in its preparation is fully acknowledge and disclosed in the paper. I have also cited any sources from which I used data‚ ideas of
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Chapter 11 Two-Way ANOVA An analysis method for a quantitative outcome and two categorical explanatory variables. If an experiment has a quantitative outcome and two categorical explanatory variables that are defined in such a way that each experimental unit (subject) can be exposed to any combination of one level of one explanatory variable and one level of the other explanatory variable‚ then the most common analysis method is two-way ANOVA. Because there are two different explanatory variables
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Variance Analysis is used to promote management action in the earliest stages. It is the process of examining in detail each variance between actual and budgeted costs to conclude the reasons as to why the budgeted amount was not met (Ventureline‚ 2012). There are several factors that go into a variance report. One is the assumption of the department. The second is the risk of the assumption. And thirdly the actual expense used to portray the budget. The vice president announces the budget that needs
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Variance Analysis 1. Define standard costs and describe how managers use standard costs in the management cycle. 2. Explain how standard costs are developed and compute a standard unit cost. 3. Prepare a flexible budget and describe how variance analysis is used to control costs. 4. Compute and analyze direct materials variances. 5. Compute and analyze direct labor variances. 6. Compute and analyze manufacturing overhead variances. 7. Explain how variances are used to evaluate managers’ performance
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4.5 Kruskal-Wallis Test Based on the normality test that was done‚ it was shown that the data were not normally distributed so a non-parametric test has to be done instead of a parametric test. Kruskal-Wallis’ test (also called the one-way ANOVA on ranks)‚ was done to determine if there were statistically significant differences between three groups of an independent variable on a continuous variable. 4.5.1 Compare mean AA among the three races in both age groups The Kruskal-Wallis test was done
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