MANOR COLLEGE

JENKINTOWN, PENNSYLVANIA

 

__Jane R. Zegestowsky_________                              _______Fall 2007________

          Instructor’s Name                                                        Semester / Year

 

Division Office:  Allied Health / Science / Math           Office Phone: 215-885-2360 ext.223

Office Hours ____________________                      e-mail: jzegestowsky@manor.edu_

 

Course Number /Title / Credit Hours:    MH 203 / Statistics I / 3 credits

 

Course Description:

            This is a basic course in the principles and techniques of statistics.  The course will treat descriptive and inferential statistics.  Sampling techniques, classification of data, probability theory, measures of central tendency, measures of dispersion, normal distribution, population parameters, testing hypotheses, and the law of large numbers are among the topics to be covered.  The purpose of the course is to provide the fundamental concepts of applied statistics.  Emphasis will be placed on understanding the concepts.  The course will balance methodology with contemporary application.

Prerequisite:  Placement into College Level Math Course or passing grade in all required developmental math courses.

 

Philosophy of the Course:

            In a highly 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.

 

Course Objectives:

A student completing this course will be able to:

  • Use critical thinking skills to evaluate the design and results of surveys and experiments
  • Construct frequency tables, from raw data
  • Calculate the mean, median, and mode of a data set
  • Calculate the variance and standard deviation of a data set
  • Calculate probabilities
  • Compare and contrast distributions including probability distributions and normal probability distributions
  • Estimate a population proportion and  mean
  • Formulate and test a hypothesis
  • Determine confidence intervals for population parameters
  • Understand regression and correlation
  • Apply these skills in problem situations

 

 

 

Student Outcomes

 

Outcome 1:  The student will be able to evaluate the statistics of a research project or survey and write a report of the evaluation using mathematically correct, concise, precise language.

Measure:  Using the internet, students will locate a recent survey and the findings of that project or survey.   He/She will write a paper identifying the target population, the type of sampling used and the effects the method of sampling employed may have had on the results of the survey.  He/She will indicate which statistical measures were used to analyze the data, and the type of graphs, if any, that were used to represent the data.  Based on the criteria for a good study, the student will determine if the chosen study meets the criteria and, summarize his/her opinion of the validity of the project and the results.  Included in this paper well be the appropriate bibliographic information.

Standard:  70% of the students will complete this assignment successfully

 

Outcome 2:  The student will describe a data sample using numerical measures of central tendency and dispersion, and graphical methods.

Measure:  The student will calculate correctly the mean, median, mode, range and standard deviation of a data sample and correctly represent the sample data graphically.

Standard:  70% of the students will complete at least 70% of the measures correctly.

 

Outcome 3:  Students will demonstrate an understanding of the ethical implications of falsifying data or misrepresenting data in scientific studies, research reports and data collection.

 Measure:  Given a real life situation in which the practice of falsifying or misrepresenting data was uncovered, students will write a reaction paper in which they include the motivation for such practices, the impact on the results and conclusions and, the ethical issues such practices raise..

Standard:  70% of the students will write a paper that is clear and logical and earn a “C” or better.  Personal interpretations and analysis of the situation will be based in fact and sustainable.  Meeting these criteria will earn the student a “C” or better on the paper.

 

Course Outline

  • Chapter 1: Using statistical terms correctly and appropriately, types of data, levels of measurement, design of experiments.
  • Chapter 2:  Measuring and describing characteristics of a set of data using frequency distribution, various graphical presentations.
  • Chapter 3:  Measures of center, variation and relative standing
  • Chapter 4:  Calculating and evaluating the probability of an event employing the fundamental concepts of probability including ways of counting, the addition rule, the multiplication rule, complements and conditional probability.
  • Chapter 5:  Constructing and evaluating Probability Distributions including working with random variables and binomial probability distributions.
  • Chapter 6:  Constructing and evaluating Normal Probability Distributions and The Central Limit
  • Chapter 7:  Estimating a population proportion, a population mean when the standard deviation is not known.
  • Chapter 8:  Testing claims  about a population proportion and mean– Hypothesis Testing
  • Chapter 10:  Determining linear correlation and finding a graph and equation that represents that correlation.. 

 

Approaches to Teaching:

            Instruction will include lectures based on information in the text, sample problems, questions and discussion periods, cumulative reviews and cooperative learning situations both in and out of the classroom.  Time will be given to the demonstration of calculator and computer applications in statistics.

 

Procedures for Evaluation and Grading:

 

There will be 3 tests and a final each counting for 20% of your final grade

Class assignments and projects, as described in outcomes 1  and 3 above, will count for 20% of the final grade.

If you miss a test and do not contact me by the end of the day of the scheduled test, ten points will automatically be deducted from the test grade.

 

Grade Equivalents

            0    -    59    =    F

            60  -   69     =    D

            70  -   79     =   C

            80  -   89     =   B

            90  -  100   =    A

 

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 will have a negative effect on the grade of the absent student.

 

Materials Used:

1.      Scientific or Graphing Calculator

2.      Text:  Elementary Statistics   10th edition

     By: Mario Triola

     Published by:  Addison Wesley,  Pearson Education, Inc.

     ISBN:  0-321-33183-4

 

 

Academic Honesty College 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 violations 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.

 

Statistics MH 203

 

This course covers:

 

Collecting Data:

An overview of statistics, the uses and abuses, the nature of data and sampling techniques

 

Analyzing Data:

Methods of summarizing and picturing data, including; frequency tables, histograms, pie charts, stem and leaf plots and box plots.  Calculating the measures of central tendency, the measures of variations, and the measures of position.

 

Probability;

The classical definition of probability and determining probability of an event, combined probability and conditional probability, events and the complement of an event, the law of large numbers, the addition rule, the multiplication rule, and counting principles including the fundamental counting principle, factorial rule, permutations, and combinations.

 

Probability Distribution:

Random variable and the mean, variance, and standard deviation from a probability distribution.  Binomial Distribution and Normal Probability Distribution.

 

Hypothesis Testing:

Estimating values for population parameters, determining confidence intervals, stating  a hypothesis, testing a claim, types of errors, introductory inferential statistics from two samples and correlation and regression

 

 

 

 

 

 

 

Outline of Course Content and Proposed Schedule

 

Week One:       Sept. 4 - 7        Sections 1-1 through 2-3;  pages 1 - 59

                                

 

Week Two:       Sept 10-14      Sections 2-4 and 2-5;  pages 59 - 92

                                  

 

Week Three:    Sept 17 -21      Sections 2-6 and 2-7; pages 92 - 110

                                 

 

Week Four:      Sept 24-28      Test 1 on Chapters 1 and 2

                                                Section 3-1 and 3-2;  pages 120 -132

 

Week Five:       Oct. 1- 5          Sections 3-3, 3-4, 3-5; pages 132-155;

                         

Week Six:        Oct. 8 - 12       3-7 pages 162-171 

 

Week Seven:    Oct. 15 - 19     Sections 4-1and 4-2; pages 182-196

                                                Mid-Terms

 

Week Eight:      Oct. 22- 26      Sections 4-3 and 4-4;  pages 196 - 219

 

Week Nine:      Oct. 29-Nov.2 Test 2  Chapters 3 and 4

                                                Sections 5-1 and 5-2; pages 226-240

                              

Week Ten:       Nov. 5 - 9        Section 5-3; pages 240 - 248 and 5-5;  pages 259 - 270

 

Week Eleven    Nov. 12 - 16    Sections 6-1 through 6-4; pages 298 - 346

 

                                

Week Twelve:  Nov. 19 - 23    Test 3  Chapters 5 and 6 (no class 23th)

 

 

Week Thirteen: Nov.26- 30 Sections 7-1 through 7-5; pages 368 - 419

 

Week Fourteen:  Dec. 3 -7       Sections 9-1, 9-2, 9-3; pages 496 - 530

 

Week Fifteen:  Dec. 10 REVIEW                                 

 Dec. 12           Reading Day      

                         Dec. 13-18      FINALS