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This statistics project requires students to propose a research hypothesis, collect data, and use statistical techniques to determine the validity of their theory. The project includes creating graphs, summary statistics, confidence intervals, and hypothesis tests using minitab. Students may collect their own data or use existing sources. The report must be typed, include appropriate graphs, summary statistics, and statistical analysis, and will be graded based on the quality of the abstract, description of the sample, production of graphs and summary statistics, construction of a confidence interval and hypothesis test, and relevant interpretations and conclusions. Suggested topics include repeating a reported study, performing a regression analysis, validating or refuting the 'freshman 15' rule, or determining the relationship between a baseball team's era and winning percentage.
Typology: Study Guides, Projects, Research
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50 points
In your role as researcher, you are to propose a research hypothesis and collect data to determine if your theory is valid. (Quantitative data is recommended since it is the focus of this course.) There are no restrictions on your topic, but you must apply the techniques learned in class to support your conclusions. You may collect your own data through observation, experiment, or survey, or you may use data from other sources such as almanacs or the internet. The data must be included with the project, either displayed by Minitab, or attached as an appendix. If you use a survey, attach a copy. The report must be typed and placed in a folder. It must include appropriate graphs, summary statistics, at least one confidence interval, and at least one hypothesis test. Minitab must be used unless an exception is granted. No length is specified, but it will be graded according to the percentages given below as to how well it accomplishes the following: 10% Abstract 10% Clearly stating the purpose of the research 10% Describing the sample and any possible bias 20% Producing appropriate graphs (at least 2) 10% Producing appropriate summary statistics (mean, standard deviation, etc.) 25% Constructing a confidence interval and performing a hypothesis test 15% Giving relevant interpretations and conclusions Suggestions: