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The course introduces the exploitation of a statistical package to the students to teach them analysis, interpretation and presenting research findings. Students in this course have to critically evaluate the research designs and undertake a research project involving ethical principles and research methodology.
The course comprises psychological research methodologies including factorial experiments and repeated measures or correlational designs. Students have to employ their foundational analytics skills to include between repeated measures, subject, and mixed ANOVA possessing more than one factor as well as multiple linear regression and apply all these to the research designs.
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This course unit of financial data science comprises the following topics:
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After completing the course successfully, students will become capable in:
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With statistics, psychologists present data in ways which are convenient to comprehend. Visual displays including pie charts, graphs, scatterplots, frequency distribution, and pie charts allow researchers to have a better overview of data.
Descriptive and inferential statistics are generally used in psychology. Descriptive statistics allow psychologists to have a better understanding of the generalised trends in data, whereas inferential statistics allow them to draw conclusion about how the variables are in correlation with one another.
A systematic research approach to ensure no research gaps and a clear and comprehensive overview.
Get the industry-specific insights for a subject and add more value to research by adding your perspective to it.
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