This course introduces the fundamental principles and techniques of statistics as applied to the collection, organization, analysis, and interpretation of data. Topics include frequency distributions, measures of central tendency and variability, probability theory, sampling distributions, estimation, hypothesis testing, and linear regression and correlation. Designed for students in business, behavioral sciences, social sciences, and other fields requiring data-informed decision making. This course is equivalent to PSY 220.
Prerequisites
MAT 142 or higher with a grade of "C" or higher or math placement as established by District policy.
1. Create and interpret frequency and relative frequency distributions from collected data.
2. Compute and analyze measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation).
3. Evaluate the probability of events using basic principles of probability.
4. Recognize and describe the characteristics of binomial probability distributions.
5. Identify and interpret properties of normal distributions and their applications.
6. Explain the role of sampling distributions and apply the Central Limit Theorem.
7. Construct and interpret confidence intervals to estimate population parameters.
8. Perform hypothesis testing for a single population using appropriate statistical methods.
9. Conduct and interpret hypothesis tests comparing two independent or dependent samples.
10. Analyze and interpret the strength and direction of linear relationships between two variables using correlation and regression techniques.