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MAT 162 Applied Statistics

Credit Hours: 3Effective Term: Fall 2017SUN#: NoneAGEC: Mathematics |
Credit Breakdown: 3 LecturesTimes for Credit: 1Grading Option: A, B, C, D, FCross-Listed: |

Measurable Student Learning Outcomes |
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1. (Comprehension Level) Explain simple statistical methods commonly used in reporting polling data and scientific research studies using correct statistical notation and appropriate language.
2. (Synthesis Level) Construct informative graphical and numerical summaries of data appropriate for the type of data and the context in which the data was collected. 3. (Evaluation Level) Interpret the meaning of graphical and numerical summaries of data in written terms appropriate to the context in which the data was collected. 4. (Analysis Level) Recognize and properly carry out parameter estimation and hypothesis testing procedures with and without the use of technology. 5. (Comprehension Level) Discuss the formalism of parameter estimation and hypothesis testing and how it relates to, supports and advances the scientific method. 6. (Analysis Level) Apply parameter estimation and hypothesis testing to solve problems utilizing appropriate statistical methods. 7. (Analysis Level) Recognize the limitations of statistical methods and discuss the appropriateness of use within a context. 8. (Application Level) Empirically and theoretically obtain the probability of an event. 9. (Application Level) Apply the normal distribution to calculate probability of event. 10. (Application Level) Apply the properties of the t-distribution, t-statistic, and degrees of freedom to construct confidence intervals. 11. (Analysis Level) Examine the relationship between two quantitative variables using the correlation coefficient and by computing the regression equation. |

Internal/External Standards Accreditation |

None |