EXERCISE 36 Questions to be graded 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. Answer F-value shows significance between the two groups. The null hypothesis should be rejected because the P-Value is 0.005 which would mean that the groups are different. 2. State the null hypothesis
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One-way Analysis of Variance (Abbreviated one-way ANOVA) is a technique used to compare means of two or more samples (using the F distribution). This technique can be used only for numerical data. It consists of a single factor with several levels and multiple observations at each level. With this kind of layout we can calculate the mean of the observations within each level of our factor. The residuals will tell about the variation within each level. It can also average the means of each level
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father of “Modern Portfolio theory”‚ developed the mean-variance analysis‚ which focuses on creating portfolios of assets that minimizes the variance of returns i.e. risk‚ given a level of desired return‚ or maximizes the returns given a level of risk tolerance. This theory aids the process of portfolio construction by providing a quantitative take on it. It integrates the field of quantitative analysis with portfolio management. Mean variance analysis has found wide applications both inside and outside
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Cost Variance Analysis Presented by : Edmund C. Cabrera MBA Student Universidad de Manila Definitions STANDARD COSTS – are predetermined or target unit costs of production which should be attained under efficient conditions. It is the amount and costs of direct material‚ direct labor‚ and factory overhead required to produce one unit of finished product. STANDARD COST SYSTEM – is an accounting system which uses standard costs rather than actual costs to account for units as they flow through
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ROI and Variance Analysis ROI and Variance Analysis What are the four major budgets of a health care organization? Briefly discuss each. Describe the four types of responsibility centers‚ including the characteristics of each? The revenue center represents the organizational link in which the activity is appreciated. The cost center represents the organizational link in which products/ services are obtained which generate expenses (costs) with the help of which there can be measured the efficiency
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Multivariate analysis of variance Multivariate analysis of variance (MANOVA) is a generalized form of univariate analysis of variance (ANOVA). It is used when there are two or more dependent variables. It helps to answer : 1. do changes in the independent variable(s) have significant effects on the dependent variables; 2. what are the interactions among the dependent variables and 3. among the independent variables.[1] Where sums of squares appear in univariate analysis of variance‚ in multivariate
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ANALYSIS OF VARIANCE? WHAT NULL HYPOTHESIS ISTESTED BY ANOVA? ANALYSIS OF VARIANCE IS A STATISTICAL METHOD USED TO TEST DIFFERENCES BETWEEN TWO OR MORE MEANS. IT IS USED TO TEST GENERAL RATHER THAN SPECIFIC DIFFERENCES AMONG MEANS. THUS THE NULL HYPOTHESIS IS CALLED AN OMNIBUS NULL HYPOTHESIS IT MEANS THAT AT LEAST ONE POPULATION MEAN IS DIFFERENT FROM AT LEASTONE OTHER MEAN. THE ANOVA DOES NOT REVEAL WHICH PAIR IS SIGNIFICANT‚ THUS A FOLLOW UP TEST IS NECESSARY TO DETERMINEWHICH PAIR
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Applying ANOVA and Non Parametric Tests a. What are three lessons you learned relative ANOVA and Nonparametric tests? While doing the simulation; the three lessons learned are as follows: Monitor – the situation Measure – provide measurements‚ accumulate data Improve – provide solutions for improvement. b. As a result of using this simulation‚ what concepts and analytic tools will you be able to use in your workplace (i.e.‚ how do you expect to apply what you learned)? As a result of using
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treatment group and 20-mg treatment group. Thus‚ the analysis test result is carried out using the technique of one-way analysis of variance ANOVA (Analysis of Variance - single factor). Assumptions of ANOVA The assumptions of ANOVA are: Observations were randomly and independently chosen from the populations‚ population distributions are normal for each group; and population variances are equal for all groups. The assumptions of ANOVA are identical to the t-test and the calculated statistic
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INTRODUCTION TO ONE-WAY ANALYSIS OF VARIANCE Dale Berger‚ Claremont Graduate University http://wise.cgu.edu The purpose of this paper is to explain the logic and vocabulary of one-way analysis of variance (ANOVA). The null hypothesis tested by one-way ANOVA is that two or more population means are equal. The question is whether (H0) the population means may equal for all groups and that the observed differences in sample means are due to random sampling variation‚ or (Ha) the observed differences
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