MANOR COLLEGE

JENKINTOWN, PENNSYLVANIA

 

___Jane R. Zegestowsky__________                       _______Spring 2008______

      Instructor’s Name                                                            Semester/Year

 

Division Office:  Allied Health/Science/Math   Office Phone:  885-2360, ext. 223

Office Hours                                       .                       e-mail: jzegestowsky @manor.edu

 

Course Number/Title/Credit Hours:             MH 204 / Statistics II / 3 credits

 

Course Description:

This second course in statistics will broaden the student’s experience and understanding of principles, techniques and methods in statistical analysis.  This course will extend the treatment of inferential statistics.  The main thrust of the course is interpretation and analysis of data Estimation of parameters, hypothesis testing, inferences from two samples, simple and multiple regression, multinomial experiments, analysis of variance, process control and non-parametric methods are among the topics to be covered.

Prerequisite:  MH 203 with a grade of C or better.

 

Philosophy of the Course:

In our technical society, success in any field requires well developed analytical and quantitative skills; one important skill is an understanding of statistics.  This course is designed to enable students to apply basic statistical methods in the analysis and solution of a variety of problems in a variety of fields.

 

Attendance

Since class participation, and the dialogue it generates, is an important aspect of the learning process, frequent absences will be detrimental to the class as a group and may well have a negative effect on the performance of the absent student.

 

Approaches to Teaching:

Instruction will include lecture based on information contained in the text, sample problems, questions and discussion periods, cumulative reviews and cooperative learning situations both in and out of the classroom.  Please note, emphasis will be placed upon question and discussion periods.  Also, it is imperative and necessary for self-study to supplement classroom instruction.

 

Student Outcomes:

Outcome:  Students will be able to evaluate data and select the appropriate test to analyze the data and make predictions or test correlations

Measure:  Given the numerical results of a survey or study, students will organize the data and select the appropriate statistical tests to test for significance, test claims, and make predications.  All analysis and justifications will be presented in a written report and presented to the class

Standard:  70% of the students will earn a “C: or better on the written report and oral presentation.

 

Materials Used:

Text:     Elementary Statistics  10th edition

           By:  Mario Triola

Publisher:  Addison Wesley, Pearson Education, Inc.

            ISBN:  0-321-33183-4

 

 

 

Course Objectives:

 

A student completing this course will be able to:

            -Estimate a population proportion, mean and variance

-Understand the fundamentals of hypothesis testing by testing claims about

            a proportion, a mean, and standard deviation or variance

-Make inferences from two samples  about

                               two means when the samples are dependent

                               two means when the samples are independent

                               two variances

                               two proportions

            -Discuss variation and prediction intervals, including

                              standard error of the estimate,

                              coefficients of determination

                              and deviation (total, explained, unexplained)

            -Perform multiple regression analysis

            -Conduct multinomial experiments including

                             goodness-of-fit tests

                             tests of homogeneity (contingency tables)

            -Conduct analyses of variance (ANOVA) including

                             One-way ANOVA,

                             Two-way ANOVA, and

                             F-distributions

            -Understand the concepts and procedures involved in statistical process control.

-Understand the concepts and procedures involved in nonparametric studies such          as sign tests with claims involving  

                   two dependent samples

                                nominal data

                                the median of a single population

            Wilcoxon signed-ranks tests (dependent samples)

Wilcoxon rank-sum test (independent samples)

            Kruskal-Wallis test

rank correlation

run tests for randomness

 

Academic Honesty Policy:

Manor College expects that its students will uphold the principles of truth and honesty in the performance of all academic work.  Plagiarism (the unacknowledged use of another person’s words or assistance) and academic cheating (falsifying data, submitting without instructor’s approval work in one course which was done for another, actually doing another student’s work, and/or the use of any unauthorized aid) are prohibited.

            Digital plagiarism (cutting, pasting, and copying sections of an article written by another; downloading papers from a “paper mill” web site and submitting as work written by the student; utilizing any graphics or audio or video clips without permission; and submitting any work with an electronic source without correct citation) is strictly prohibited and a violation of fair use and intellectual property rights.

The Academic Dean will be formally notified of any violation of this policy.  The penalty for the first violation will be a grade of F for the assignment.  Any subsequent violations will result in a grade of F for the course and possible dismissal from the College.