Course Description: Provides brief review of Math 202; data analysis (including computer applications) and interpretation using correlation and simple regression, multiple regression, analysis of variance; analytical approaches to decision making using linear programming; and decision analysis.
Prerequisites: Appropriate placement test score or MATH 202 (with a grade of C or higher)
Suggested Enrollment Cap: 30
Learning Outcomes: Upon successful completion of this course, the student will be able to:
Understanding and demonstrate the Hypothesis Testing – apply the five step process, mean, proportions, standard deviation, variance, difference of two means and two proportions
Compute the equation of the regression line, the coefficient of determination, the standard error of the estimate and correlation coefficient. The student will find a prediction interval;
Use the one-way ANOVA technique to determine if there is a significant difference among three or more means;
Use nonparametric tests for statistical inference
General Education Learning Outcomes: This course supports the development of competency in the following areas. Students will:
Understand, analyze and evaluate readings from a variety of texts and apply that learning to academic, personal and professional contexts;
Think critically, collect evidence (statistics, examples, testimony) and make decisions based on the evidence, comprehend and analyze texts, and solve problems using methods of critical and scientific inquiry;
comprehend and apply quantitative concepts and methods to interpret and critically evaluate data and to problem-solve in a variety of contexts demanding quantitative literacy;
Information to be included on the Instructors’ Course Syllabi:
Disability Statement: Baton Rouge Community College seeks to meet the needs of its students in many ways. See the Office of Disability Services to receive suggestions for disability statements that should be included in each syllabus.
Grading: The College grading policy should be included in the course syllabus. Any special practices should also go here. This should include the instructor’s and/or the department’s policy for make-up work. For example in a speech course, “Speeches not given on due date will receive no grade higher than a sixty” or “Make-up work will not be accepted after the last day of class.”
Attendance Policy: Include the overall attendance policy of the college. Instructors may want to add additional information in individual syllabi to meet the needs of their courses.
General Policies: Instructors’ policy on the use of things such as beepers and cell phones and/or hand held programmable calculators should be covered in this section.
Cheating and Plagiarism: This must be included in all syllabi and should include the penalties for incidents in a given class. Students should have a clear idea of what constitutes cheating in a given course.
Safety Concerns: In some programs this may be a major issue. For example, “No student will be allowed in the safety lab without safety glasses.” General statements such as, “Items that may be harmful to one’s self or others should not be brought to class.”
Library/ Learning Resources: Since the development of the total person is part of our mission, assignments in the library and/or the Learning Resources Center should be included to assist students in enhancing skills and in using resources. Students should be encouraged to use the library for reading enjoyment as part of lifelong learning.
Expanded Course Outline:
Review of Math 202
Properties of normal distribution
Standard Normal distribution
Central Limit theorem
Confidence Intervals and Sample Size
Confidence intervals for the mean and sample size(n>=30)
Confidence intervals for the mean and sample size(n<30)