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Statistics research papers examples

Statistics research papers examples

statistics research papers examples

Statistics Research Papers Examples Interpreting Logistic Regression Output from Excel. Introduction. When we have a binary output variable Y, and we wish to model the conditional probability of (Y, given X) Strength of the Model. The Receiver Operating Characteristics (ROC) curve is a tool to Applied Mathematics, Statistics, Stochastic models, First Passage Time Prevalence of dementia in mainland China, Hong Kong and Taiwan: an updated systematic review and meta-analysis There are several existing systematic reviews of prevalence of dementia for mainland China, Hong Kong and Taiwan, but several studies have been newly reported Got tired of searching all the formatting requirements and specifics of Statistics Term Paper? Format, header, outline, type or topics? Forget this struggle! In our online database you can find free Statistics Term Paper work for every taste: thesis, essays, dissertations, assignments, research and term papers etc. - easy and free. Choose any document below and bravely use it as an example to



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Type of paper: Research Paper. Topic: TimeStressPressureCorrelationFailureLengthValueModel. Any type of paper on any subject custom-written for you by the professionals. When we have a binary output variable Y, and we wish to model the conditional probability of Y, given X as a function of X, one approach is to perform logistic regression. This logistic transformation helps in avoiding results that would not normally make sense. Using this approach, logistic regression helps to determine the probability of a categorical dependent variable based on one or more predictor variables Carnegie Mellon University, n.


Essentially, we wish to answer the question about what is the probability of failure of any pipe, given its type, material, pressure, size, length or time elapsed, statistics research papers examples. The Receiver Operating Characteristics ROC curve is a tool to determine the strength of the predictive power of the logistic regression model. The higher statistics research papers examples area under the curve, the better the model at its predictive capabilities.


The net AUC is determined as 0. The intercept table analyses the hypothesis that the proportion of failures due to various categories of the pipes would be the same.


The intercept table indicates the b-coefficient of each variable, the standard error, the Wald Chi square and the p value. P value, arrived at after the chi square, is the estimated probability of rejecting the null hypothesis H0 when that hypothesis is true.


If the p value is statistics research papers examples than 0. In the intercept table, the p value is more than 0. This means that material, pressure and length would not homogeneously provide failure patterns.


The Wald chi-square is the high for var 3 size at This means that the probability of the model to indicate the failure patterns is strong for size and failure. This inference is corroborated from the correlation graphs that follow UCLA Institute of Digital Research and Regressions, n.


The correlation table sheet shows the correlation between the various categorical inputs, namely type, material, pressure, size, length, time elapsed and failure state. It is observed that there is a This means that the older the pipe, the more likely it is to fail. This means that the longer the pipe, the more the buildup of pressure in the pipe.


The statistics research papers examples between pressure and size is The correlation table is graphically depicted as graphs to indicate the dependency of respective dependent variables on independent variables.


Interpretations of each graph are given subsequently. In the graph on prediction vs. pressure, the intent is to determine whether pressure the dependent variable is related to the prediction rate. A low R square value is not necessarily a negative input; it has to be seen in the context of other tests and parameters. In this case, the correlation between prediction and pressure is 0. In the graph on length vs. time elapsed, statistics research papers examples, the intent is to determine whether how the time elapsed independent variable determines the length dependent variable, statistics research papers examples.


The correlation coefficient is 0. In the graph of time elapsed vs. pressure, the intent is to determine whether time elapsed the dependent variable can be related to pressure independent variable. While this conclusion might appear counter-intuitive, statistics research papers examples, it statistics research papers examples sense from the engineering perspective: if adequate water pressure is retained in pipes, they should have a longer lifespan; on the other hand, pipes in disuse are likely to deteriorate earlier.


In the graph of prediction vs. time elapsed, the aim is to determine how the prediction of failure of pipes relates to the time elapsed, ie the life of the pipes. This implies that the correlation as worked out would be adequately strong. It is therefore likely that the older the pipe, it is likely to fail.


The logistic regression model created for the water supply system of Riyadh has indicated correlations between time elapsed statistics research papers examples life of pipes, as well as between water pressure and time elapsed. The managerial implications of the same would be that it would be prudent for the Riyadh administration authorities to ensure that the pipelines remain in good usage, as the likelihood of pipelines in disuse to fail is strong.


Also, it would be imperative to institute regular checks on older pipes for failure, as the likelihood of older pipes to fail is strong. Carnegie Mellon University. Logistic regression. pdf UCLA Institute of Digital Research and Regressions. Summary table for logistical regression models. Please remember that this paper is open-access and other students can use it too.


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Interpreting Logistic Regression Output from Excel Interpreting Logistic Regression Output from Excel Introduction When we have a binary output variable Y, and we wish to model the conditional probability of Y, given X as a function of X, one approach is to perform logistic regression. Strength of the Model The Receiver Operating Characteristics ROC curve is a tool to determine the strength of the predictive power of the logistic regression model.


Intercept Table The intercept table analyses the hypothesis that the proportion of failures due to various categories of the pipes would be the same. H1: The proportions are different.


Correlation Table The correlation table sheet shows the correlation between the various categorical inputs, namely type, material, pressure, size, length, statistics research papers examples, time elapsed and failure state.


Correlation Graphs The correlation table is graphically depicted as graphs to indicate the dependency of respective dependent variables on independent variables.


Prediction vs. Pressure In the graph on prediction vs. Length vs. Time Elapsed In the graph on length vs. Time elapsed vs. Pressure In the graph of time elapsed vs. Time Elapsed In the graph of prediction vs. Conclusion The logistic regression model created for the water supply system of Riyadh has indicated correlations between time elapsed and life of pipes, as well as between water pressure and time elapsed. Reference Carnegie Mellon University. Dependent Variable.


Independent Variable. The Correctional School System Essay Sample. Cite this page. Choose cite format: APA MLA Harvard Vancouver Chicago ASA IEEE AMA. Accessed 24 April Statistics Research Papers Examples. January Accessed April 24, Retrieved April 24, com, Jan Free Essay Examples - WePapers. Published Jan 03, Share statistics research papers examples friends using:.


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statistics research papers examples

Looking for Research Papers on Statistics and ideas? Get them here for free! We have collected dozens of previously unpublished examples in one place These example papers are to help you understanding how to write this type of written assignments. Statistics is a branch of mathematics dealing with the collection, organization, analysis, interpretation and presentation of data. In applying statistics to, for example, a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied Applied Mathematics, Statistics, Stochastic models, First Passage Time Prevalence of dementia in mainland China, Hong Kong and Taiwan: an updated systematic review and meta-analysis There are several existing systematic reviews of prevalence of dementia for mainland China, Hong Kong and Taiwan, but several studies have been newly reported

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