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Apr 17, 2024
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Catalog 2020-2021 [ARCHIVED CATALOG]
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MATH& 146 Introduction to Statistics5 credits
This course covers the organization and graphical representation of data, measures of central tendency and variation, basic probability theory, discrete probability distributions and the binomial formula, the normal distribution, hypothesis testing, confidence intervals, correlation, and linear regression.
Prerequisites: MATH 098 recommended or MATH 099 (or placement into MATH& 146)
Course Outcomes
Upon successful completion of this course the students will be able to:
- Organize and graph data using scatterplots, histograms, and boxplots
- Calculate mean, standard deviation, z-scores, and percentile values
- Solve problems using the basic elements of probability theory, such as sample spaces, the addition rule, and the multiplication rule
- Calculate the mean and standard deviation of a probability distribution
- Calculate expected value
- Calculate probabilities using the binomial probability formula
- Calculate probabilities and find percentile values using the normal distribution and the central limit theorem
- Construct and interpret confidence intervals
- Perform hypothesis tests
- Measure and test for correlation
- Use regression equations to make predictions
Global Outcomes
This course teaches to the global outcome of critical thinking.
Total Hours: 50 Theory (Lecture) Hours: 50
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