Data analysis

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    E. Effectiveness of Boston Consulting Group (BCG) Portfolio Analysis in Developing an Adaptive Strategy The BCG analysis would provide an effective portfolio for developing an adaptive strategy for a healthcare organization because it is useful in pinpointing the four categories of services the healthcare organization delivers as those producing…

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    to school security policies. The first question being, what types of schools tend to have the most extensive security measures? And the second question asking, how does school security relate to suspension, dropout, and college attendance rates? The data they used was drawn from several measures…

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    - and numeracy. “NAPLAN” stands for National Assessment Program - Literacy and Numeracy. All students take the same test for their individual year level, and each stage/year gets progressively more difficult as they go through their education. This data is used to assess how well they are doing compared to expected levels, and to calculate the national and state averages in each of the aspects. I have chosen two variables that are individually described as the explanatory (or predictor)…

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    After computing a statistical and tabular summary of data on the airfares from BWI (Figure 1), one can draw many conclusions about the distribution of airfares. The lowest price a ticket was purchased at, also known as the minimum price, was $55. The most…

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    Goody's Business Strategy

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    Table of Contents 1. Introduction 1 2. Company Fundamentals 1 2.1. Mission 1 2.2. Vision 1 2.3. Objectives 1 2.4. Positioning 1 2.5. Core Competencies 1 3. Strategic Analysis 1 3.1. SWOT Analysis 1 3.2. PESTEL Analysis 1 3.3. Market Competition 1 3.4. Strategic Planning 1 3.5. Competitive Advantage 1 4. The Future of the Company 1 5. Conclusions 1 6. References 1 1. Introduction In the current globalized, social and economic environment, competition between businesses is extremely…

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    Conditional Hypothesis

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    This research report use a replication data from Clark And Golder (2006) article to test the conditional hypothesis with interaction variable from Duverger’s theory. The argument of his theory state that increasing the number of ethnic groups within a country will only to an increase in the effective number of electoral party if the electoral system is proportional or permissive. • Multivariate Regression Analysis Table~ ef{tab:example1} shows that when there are ethnic groups in a society…

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    weights matrix is calculated based on distance on point or polygon data. Moran correlogram is distance based and as we increase distance between cells we can measure change in correlation structure (Plant,2012). 3.9.2 Moran Scatterplot This tool is also based on Moran’s I statistic. It is a bivariate plot in which slope of regression line represents the statistic. With the help of this plot we can know about the local structure of the data and visualize the potential outliers. “the Moran…

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    To assess the overall model fit of the measurement model, confirmatory factor analysis (CFA) was performed. The measurement properties resulted from CFA are summarized in Table 3. In this study, the chi-square statistic indicated the overall model was not fit very well (x^2 = 527.397, p < .001). However, The value of the normed chi-square static to sample size, showed that the model fit the data well with x^2/df at 2.028, which was lower than the recommended threshold of 3. In addition, the…

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    QBE Case Study Sample

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    1. QBE Overview & Available Data As a mature organization, QBE assists its customers to manage their online presence through a subscription service with contracts that ran either month to month or fixed periods of 6 months or 12 months. Moreover, QBE collects various pieces of information focus to further understand its customers, nature of this study which seeks to predict the probability for a customer to cancel their service. I will attempt to recognize the patterns and behaviors that expose…

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    in the intervention group : 0.38-0.23= -0.15 2a. According to the data, compare with ‘smoker’ and ‘high cholesterol’, ‘overweight (body mass index >25)’ is the most likely to be a confounder. The reason is this variable has a large unequally distributed between two treatment groups (intervention group is 48% and control group is 56%), which means, it is associated with the exposure. 2b. If we perform this unplanned subgroup analysis, the people in smoker subgroup going to have higher risk…

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