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.
Research Design and Statistical Terminologies
- Define research and the scientific method.
- Compare and contrast primary and secondary data.
- Determine appropriate measures based on an operational definition for research tools.
- Select appropriate data collection methods to investigate psychological research problems.
- Examine the differences between descriptive and inferential statistics and their use in the social sciences.
Descriptive Statistics and Discrete Probability Distributions
- Calculate measures of central tendency and dispersion.
- Present descriptive statistical data using graphic and tabular techniques.
Hypothesis Testing and Statistical Significance
- Formulate a hypothesis using the five-step process.
- Perform a hypothesis test using the standard normal distribution.
- Explain how to use hypothesis testing to evaluate possible solutions to a psychological research problem.
Statistical Inference and Variance
- Develop a conceptual understanding of the application and interpretation of inferential statistics.
- Perform an Analysis of Variance (ANOVA).
- Interpret the results of an ANOVA.
- Create a scatter diagram.
- Determine a correlation coefficient.