Exercise 36 1. The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1‚ 22) = 9.619‚ p = 0.005. Discuss each aspect of these results. The F-value is high enough at the 5% level of significance to suggest a significant difference between the control and treatment groups. The p-value 0.005 < 0.05 hence this suggests a rejection of the null hypothesis
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Analysis of Variance Unemploye Part-time 2.82 2.87 3.75 3.52 2.93 2.96 3.03 3.06 3.11 3.09 3.01 3.2 3.34 3.82 3.49 3.96 3.32 3.56 3.22 3.17 3.06 3.36 3.07 3.98 3.41 3.28 2.84 3.22 3.03 3.26 3.66 2.85 3.23 3.32 3.52 2.83 3.33 2.98 3.33 3.05 3.17 3.77 3.17 3.64 3.4 3.62 3.44 3.53 3.56 3.76 3.31 3.01 3.64 3.13 3.22 3.85 3.37 3.8 3.27 3.56 3.93 3.05 3.85 3.53 3.47 3.22 3.26 3.46 3.43 3.9 Full-time 3.49 3.25 3.26 3.16 3.4 3.72 3.44 3.65 3.02 3.8 3.23 3.53 3.15 3.36 3.79 3.74 2.89 2.83 3.71 3.47 3
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1. Comprehensive exercise to calculate variances: Gilder Corporation makes a product with the following standard costs: The company reported the following results concerning this product in June. The company applies variable overhead on the basis of direct labor-hours. The direct materials purchases variance is computed when the materials are purchased. Required: a. Compute the materials quantity variance. 15‚600 F b. Compute the materials price variance. 44‚100 * 0.1 = 4‚410 F c. Compute
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Analysis of Variance (ANOVA) Indian Institute of Public Health Delhi MSc CR 2013-15 Outline of the session • Need for Analysis of Variance • Concept behind one way ANOVA • Example • Non-parametric alternative When dependent variable is continuous Type of Dependent variable Type of Independent variable Number of Groups Continuous Categorical More than two Non-parametric (Wilcoxon sign rank) Paired t – test Not normal Non-parametric (Wilcoxon sign
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□ EXERCISE 20: Questions to be graded 1. Which patient scored the highest on the preoperative CVLT Acquisition? What was his or her T score? Pt. 3 had a pre-op CVLT score of 63. The T score was 50. 10x47.8/5.8+(50-10x47.8/5.8) 10x47.8=478 478/5.8=82.41 50-82.41= -32.41 -32.41+82.41=50 2. Which patient scored the lowest on postoperative CVLT Retrieval? What was this patient’s T score? Pt. 4 had a post-op CVLT retrieval score of 23. 10*47.8/5.8+(23-10*47.8/5.8 10x47.8=478
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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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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 words‚ whether quoted directly or paraphrased. I also certify that this paper was prepared by me specifically for this course. Student Signature:
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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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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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d with means µ 1 ‚ µ 2 ‚K ‚ µ k and common variance σ 2 . We wish to derive appropriate methods for testing the hypothesis: H 0 : µ1 = µ 2 = K = µ k Against‚ H 0 : at least two are unequal . Let x ij := The j th observation from the i th population. • Ti := The total of all observations in the sample from the i th population. • • x i := The mean of all observations in the sample from the i th population. T .. := The total of all nk
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