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Course level: Undergraduate
Students collect, analyze, and interpret data as they examine the role of statistical analysis and statistical terminology. Students also apply appropriate statistical techniques and analytical reasoning in real-world problems to communicate logical arguments and models. The course topics includes probability, statistics, and quantitative reasoning.
What you'll learn
Course skills and outcomes
- Convert between percentages, fractions, and decimals.
- Add, subtract, multiply, and divide fractions.
- Evaluate expressions including order of operations and square root problems.
- Evaluate series including series notation.
- Calculate factorials.
- Determine the outcomes of an event.
- Solve mutually exclusive and inclusive probability problems.
- Calculate probabilities using the classical and relative frequency approaches.
Introduction to Statistics
- Determine all possible samples from a specified population.
- Distinguish between a sample and a population.
- Determine whether a sample is random or biased.
- Classify a statistical study as descriptive or inferential.
- Solve real-world problems using statistics.
Graphing and Measures of Center
- Create a frequency distribution.
- Create a graphical display using technology.
- Interpret data presented in a graph.
- Analyze a set of data with respect to characteristics such as center distribution, outliers, and time.
- Calculate mean, median, and mode for ungrouped data.
- Calculate standard deviation.
- Use graphs and measures of center to solve real-world problems.
- Determine if data is qualitative or quantitative.
Standard Deviation and Normal Distribution
- Describe a normal distribution of a variable.
- Determine areas under a normal curve.
- Determine the z-score(s) for an area under the normal curve.
- Apply the empirical rule to normally distributed data.
- Calculate probability from a normal curve and z-score.
- Use standard deviation and normal distribution to solve real-world problems.