MATH 138 Statistics

In this course, students will develop the skills necessary to examine basic statistical terminology, display, describe, and analyze categorical and quantitative data, and calculate measures of central location and variation. Students will additionally examine the normal distribution, correlation, and regression analysis, sampling, hypotheses testing, the chi square test, and probability related to statistics. Classes will require the use of a statistical package.

Credits

4

Prerequisite

MATH 037 or MATH 070 or higher and ENGL 086 or ENGL 096 or higher or appropriate placement scores

Hours Weekly

4 hours weekly

Course Objectives

1. Communicate mathematical and statistical concepts using appropriate symbols, notation, and vocabulary.
2. Represent and analyze categorical and quantitative data using appropriate statistical methods including use of descriptive and inferential statistics.
3. Interpret, evaluate, and justify observations and inferences derived from statistical methods.
4. Assess the validity of statistical arguments and conclusions by analyzing the context of data, the sampling methods employed, sources of bias or error, and the appropriateness and
   limitations of statistical models.
5. Identify and use appropriate technologies including statistical software to efficiently complete mathematical, statistical, or cross-disciplinary problem-solving tasks, and as an effective means to communicate statistical processes and results.
6. Calculate probability of events by correctly applying appropriate methods and/or models (including probability rules and probability distributions).

Course Objectives

1. Communicate mathematical and statistical concepts using appropriate symbols, notation, and vocabulary.

   This objective is a course Goal Only

   Learning Activity Artifact

   • Other (please fill out box below)
   • Projects and exams

   Procedure for Assessing Student Learning

   • Quantitative Reasoning Rubric
2. Represent and analyze categorical and quantitative data using appropriate statistical methods including use of descriptive and inferential statistics.

   Learning Activity Artifact

   • Other (please fill out box below)
   • Project

   Procedure for Assessing Student Learning

   • Quantitative Reasoning Rubric

   Quantitative Reasoning

   • QR2
3. Interpret, evaluate, and justify observations and inferences derived from statistical methods.

   Learning Activity Artifact

   • Other (please fill out box below)
   • Project

   Procedure for Assessing Student Learning

   • Quantitative Reasoning Rubric

   Quantitative Reasoning

   • QR1
4. Assess the validity of statistical arguments and conclusions by analyzing the context of data, the sampling methods employed, sources of bias or error, and the appropriateness and
   limitations of statistical models.

   Learning Activity Artifact

   • Other (please fill out box below)
   • Project

   Procedure for Assessing Student Learning

   • Quantitative Reasoning Rubric

   Quantitative Reasoning

   • QR4
5. Identify and use appropriate technologies including statistical software to efficiently complete mathematical, statistical, or cross-disciplinary problem-solving tasks, and as an effective means to communicate statistical processes and results.

   Learning Activity Artifact

   • Other (please fill out box below)
   • Project/Exams

   Procedure for Assessing Student Learning

   • Quantitative Reasoning Rubric

   Quantitative Reasoning

   • QR2
   • QR3
6. Calculate probability of events by correctly applying appropriate methods and/or models (including probability rules and probability distributions).

   Learning Activity Artifact

   • Other (please fill out box below)
   • Project

   Procedure for Assessing Student Learning

   • Quantitative Reasoning Rubric

   Quantitative Reasoning

   • QR3