This is an introductory course in applied statistics, with particular emphasis in psychology. Both descriptive and inferential statistics are included. In addition, this course provides the basic statistical background and understanding needed.
Descriptive Statistics and Discrete Probability Distributions
Calculate measures of central tendency and dispersion.
Present descriptive statistical data using graphic and tabular techniques.
Statistical Inference and Variance
Interpret the results of an ANOVA.
Perform an Analysis of Variance (ANOVA).
Develop a conceptual understanding of the application and interpretation of inferential statistics.
Hypothesis Testing and Statistical Significance
Explain how to use hypothesis testing to evaluate possible solutions to a psychological research problem.
Perform a hypothesis test using the standard normal distribution.
Formulate a hypothesis using the five-step process.
Research Design and Statistical Terminologies
Examine the differences between descriptive and inferential statistics and their use in the social sciences.
Select appropriate data collection methods to investigate psychological research problems.
Determine appropriate measures based on an operational definition for research tools.
Compare and contrast primary and secondary data.
Define research and the scientific method.
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