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Nov 21, 2024
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2020-2021 Catalog [PREVIOUS CATALOG YEAR]
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MAT 167 - Elementary Statistics  MAT 1160.
Description: Statistical tools and techniques used in research and general applications. Description of sample data, probability and probability distributions, point and interval estimates of population parameters, hypothesis testing, and correlation and regression. Note: Computer use and graphing calculator required (TI-83/84 recommended).
Prerequisites: MAT 141 , MAT 142 , MAT 152 or satisfactory score on mathematics skills assessment.
Credits: 3
Lecture: 3
Course Content:
- Descriptive statistics
- Probability
- Normal distribution
- Research design
- Sampling strategies
- Confidence intervals
- Hypotheses testing of one population
- Tests of categorical data
- Goodness-of-Fit and Contingency Tables
- Statistics technology
Learning Outcomes:
- Use both numerical and graphical methods to describe data. (1)
- Compute and interpret measures of central tendency and variability. (1)
- Compute probabilities for both simple and compound events. (2)
- Apply the normal distribution to probability problems and estimation of population parameters. (3)
- Critique the research methods of others, and use research methodology. (4,5)
- Produce representative random samples. (5)
- Calculate and interpret confidence intervals as estimates of population parameters. (6)
- Perform hypothesis tests about means and other parameters from large and small samples using one and multiple sample methods. (7,8)
- Test hypothesis about categorical data. (9)
- Recognize appropriate use of Goodness-of-Fit and Contingency Table tests. (10)
- Use regression and correlation to test hypothesis and create models for bivariate data. (11)
- Use technology to perform statistical analysis. (12)
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