Tests of association triglyceride charts descriptive

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Tests of Association Triglyceride Charts Descriptive Statistics Correlation and Regression Can we predict change in triglyceride level from change in weight? Further Regression Breakfast Charts Descriptive Statistics Tests of Means How does adding sugar to low GI breakfast affect children’s hunger later in the day? Non-parametric Tests Overdose Charts Descriptive Statistics Do gender, age or marital status affect the risk of taking an overdose? Tests of Association IVF Descriptive Statistics Tests of Means Are larger clinics more successful than smaller ones at IVF treatment? Correlation and Regression ASSESSMENT Another main aim of the STARS project was to develop assessment tools that could produce individualised assignments, (with suggested solutions for lecturers) which could address the problem of plagiarism. Assessment had emerged as one of the most problematic areas in MSOR provision in the subject Overview Report (2000). Some of the main issues were deemed to be the link between what students are expected to be capable of (learning objectives) and the assessment tasks set; the match of the assessment task to the student profile; the management and administration of the design of the assessment; setting and moderation of assessment task and scheduling of assessment tasks. Further, good practice involved a wide range of assessment instruments to be used to address learning objectives (Bidgood and Cox, 2000). The two assessment tools developed in this project help to address these issues; each allows individualised datasets to be produced, together with assignments (and solutions) that can be generated from the datasets. The primary motivation for creating individualised tasks for students is to combat plagiarism within the student group, where a student may copy all or part of another student’s work (rather than the more usual form of plagiarism, i.e., copying material without reference from published sources). It is important to guarantee that each student, in carrying out statistical analyses, works with a different set of data. Individualised Statistics Coursework Using Spreadsheets (ISCUS) is based on Excel and allows lecturers to use their own data as well as that supplied in the STARS project (Hunt, to appear). As such it facilitates the setting and marking of student assignments based on a substantial set of data. However, random data allocation can lead to problems, for example, in a regression problem, some students might have an outlier in their data and others not. An advantage of ISCUS is that, generally, lecturers can identify such problems in advance and ensure that the samples of data received are comparable in their statistical features. ISCUS has been developed over a period of time and, as such, has been introduced to the community through various workshops and conferences, as part of the dissemination strategy of the project. It is freely downloadable from the website, http://stars.ac.uk , together with instructions for its use.
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