Course Syllabus
STA 205-02 Syllabus.pdf
Course Description:
A study of basic statistical methods with a focus on applied data analysis. Develops proficiency in the use of descriptive methods, sampling, linear regression and correlation, chi-square family of test, Z family of test, T family of test, and One-Way ANOVA and 2-way ANOVA with discussion of higher-level experimental designs. Explores hypothesis testing, probability theory and distributions, statistical inference techniques for estimation and hypothesis testing from a non-calculus-based framework. Reviews applications across natural, managerial, and social sciences. Software will be introduced for data visualization including graphical and numerical displays of data and generation of reports for statistical summaries. Computer lab sessions for an important part of the course.
Course Content:
- Describing data-measures of central tendency
- Measures of dispersion and skewness
- A survey of probability concepts
- The normal probability distribution
- Sampling methods and sampling distributions
- Discrete probability distributions
- Tests of hypotheses: large samples
- Tests of hypotheses: proportions
- Simple regression analysis
- Simple correlation analysis
- Multiple regression analysis
Textbook:
Great news: your textbook for this class is available for free online!
Introductory Business Statistics from OpenStax, ISBN 1-947172-47-6
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Course Summary:
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