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.
This undergraduate course is 5 weeks.
Attendance and participation are mandatory in all university courses, and specific requirements may differ by course. If attendance requirements are not met, a student may be removed from the course. Please review the Course Attendance Policy in the Catalog for more information.
This course will appear as MTH/217T on your university transcript.
- 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.
The University of Phoenix reserves the right to modify courses.
While widely available, not all programs are available in all locations or in both online and on-campus formats. More information about eligibility requirements, policies, and procedures can be found in the catalog.Transferability of credit is at the discretion of the receiving institution. It is the student’s responsibility to confirm whether or not credits earned at University of Phoenix will be accepted by another institution of the student’s choice.