MA120 Basic Concepts of Statistics
for S1UU 2013
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Course  MA 120 Basic Concepts of Statistics 
Semester  S1UU 2013 CNA 
Faculty  Denslow, Stewart 
Title  Adjunct Faculty 
Degrees/Certificates  BS, MS, PhD (Biostatistics) 
Office Location  Education Building, CAFB 
Office Hours  By Appointment 
Daytime Phone  8436705486 
EMail  stewart.denslow@park.edu 
Semester Dates  Jan 15 to Mar 5, 2013 
Class Days  R 
Class Time  4:30  9:45 PM 
Credit Hours  3 
Textbook:
Elementary Statistics by Mario F. Triola, 11th
ed. AddisonWesley: c. 2010
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Course Description: MA120 Basic Concepts of Statistics : A development of certain basic concepts in probability and statistics that is pertinent to most disciplines. Topics include: probability models, parameters, statistics and sampling procedures, hypothesis testing, correlation and regression. 3:0:3
Educational Philosophy:
There is an increasing demand in
today’s world for the particular skills needed to solve statistical
problems. The philosophy of this
instructor is to teach these particulars and also underline how they relate to
three more general skills: (1) the ability to do critical thinking and
problemsolving; (2) the ability to communicate effectively; and (3) the
ability to collaborate. The study of
applied math like statistics will strengthen all these skills. While recognizing that each individual
approaches learning differently, the object of this course is to teach the
student how to think for themselves and recognize different ways of approaching
challenges.
Learning Outcomes:
Core Learning Outcomes
 Compute descriptive statistics for raw data as well as grouped data.
 Determine appropriate features of a frequency distribution.
 Apply Chebyshev's Theorem.
 Distinguish between and provide relevant descriptions of a sample and a population.
 Apply the rules of combinatorics.
 Differentiate between classical and frequency approaches to probability.
 Apply settheoretic ideas to events.
 Apply basic rules of probability.
 Apply the concepts of specific discrete random variables and probability distributions.
 Compute probabilities of a normal distribution.
 Compute confidence intervals of means and percentages.
 Perform hypothesis tests involving one population.
 Compute regression and correlation of Bivariate data.
Core Assessment: Description of MA 120 Core Assessment
One problem with multiple parts for each numbered item, except for item #3, which contains four separate problems.
1. Compute the mean, median, mode, and standard deviation for a sample of 8 to 12 data.
2. Compute the mean and standard deviation of a grouped frequency distribution with 4 classes.
3. Compute the probability of four problems from among these kinds or combinations there of:
a. the probability of an event based upon a twodimensional table;
b. the probability of an event that involves using the addition rule;
c. the probability of an event that involves conditional probability;
d. the probability of an event that involves the use of independence of events;
e. the probability of an event based upon permutations and/or combinations;
f. the probability of an event using the multiplication rule; or
g. the probability of an event found by finding the probability of the complementary event.
4. Compute probabilities associated with a binomial random variable associated with a practical situation.
5. Compute probabilities associated with either a standard normal probability distribution or with a nonstandard normal probability distribution.
6. Compute and interpret a confidence interval for a mean and/ or for a proportion.
Link to Class Rubric
Class Assessment:
There will be two exams, and
homework in this course. The exams
contain the core assessment for the course. Neither the midterm nor the final is a take home exam.
Grading:
Homework: 25 percent
Midterm exam: 25 percent
Class participation: 25 percent
Final exam: 25 percent
Late Submission of Course Materials:
It is recognized when affiliated with the
military, that special ops, assignments, TDYs and emergent orders do affect
class study. Each late submission will be
given every due and analyzed on a casebycase basis to the benefit of the
student.
Classroom Rules of Conduct:
Each person is expected to conduct themselves
with pride and respect in accordance with military protocol and Park
University. Refer to the UCMJ and Park
University student handbook respectively as needed.
Course Topic/Dates/Assignments:
Class

Date

Topics/Assignments

1

January 17

Discuss Course Syllabus
Chapter 1 “Introduction to Statistics”



Chapter 2 “Summarizing and Graphing Data”
Assign Homework#1

2

January 24

Chapter 3 “Statistics for Describing, Exploring, and Comparing Data”
Review of Homework #1



Chapter 4 “Probability and Counting Rules”
Assign Homework #2

3

January 31

Chapter 5 “Discrete Probability Distributions”
Review Homework #2



Chapter 6
“Normal Probability Distributions”
Assign Homework#3

4

February 7

Review of Homework #3
Review for Midterm Exam: Chapters 16



Midterm Exam Chapters 1 – 6.

5

February 14

Review Midterm Exam
Chapter 7 “Confidence Intervals and Sample Size”



Assign Homework #4

6

February 21

Review Homework #4,
Chapter 8 “Hypothesis Testing”



Assign Homework
#5

7

February 28

Review Homework #5
Discuss Chapter 10 “Correlation and Regression”



Complete Chapter 10 “Correlation and Regression”
Assign Homework #6

8

March 7

Review Homework #6
Review of Course Material for the Final Exam



Final Exam: Chapters 7 – 10

Academic Honesty:
Academic integrity is the foundation of the academic community. Because each student has the primary responsibility for being academically honest, students are advised to read and understand all sections of this policy relating to standards of conduct and academic life. Park University students and faculty members are encouraged to take advantage of the University resources available for learning about academic honesty (www.park.edu/current or http://www.park.edu/faculty/).from Park University 20112012 Undergraduate Catalog Page 9596
Plagiarism:
Plagiarism involves the use of quotations without quotation marks, the use of quotations without indication of the source, the use of another's idea without acknowledging the source, the submission of a paper, laboratory report, project, or class assignment (any portion of such) prepared by another person, or incorrect paraphrasing. from Park University 20112012 Undergraduate Catalog Page 95
Attendance Policy:
Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.
 The instructor may excuse absences for valid reasons, but missed work must be made up within the semester/term of enrollment.
 Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
 In the event of two consecutive weeks of unexcused absences in a semester/term of enrollment, the student will be administratively withdrawn, resulting in a grade of "F".
 A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
 Students receiving Military Tuition Assistance or Veterans Administration educational benefits must not exceed three unexcused absences in the semester/term of enrollment. Excessive absences will be reported to the appropriate agency and may result in a monetary penalty to the student.
 Report of a "F" grade (attendance or academic) resulting from excessive absence for those students who are receiving financial assistance from agencies not mentioned in item 5 above will be reported to the appropriate agency.
Park University 20112012 Undergraduate Catalog Page 98
Disability Guidelines:
Park University is committed to meeting the needs of all students that meet the criteria for special assistance. These guidelines are designed to supply directions to students concerning the information necessary to accomplish this goal. It is Park University's policy to comply fully with federal and state law, including Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act of 1990, regarding students with disabilities. In the case of any inconsistency between these guidelines and federal and/or state law, the provisions of the law will apply. Additional information concerning Park University's policies and procedures related to disability can be found on the Park University web page: http://www.park.edu/disability .
Rubric
Competency  Exceeds Expectation (3)  Meets Expectation (2)  Does Not Meet Expectation (1)  No Evidence (0) 
Evaluation Outcomes 10  Can perform and interpret a hypothesis test with 100% accuracy.  Can perform and interpret a hypothesis test with at least 80% accuracy.  Can perform and interpret a hypothesis test with less than 80% accuracy.  Makes no attempt to perform a test of hypothesis. 

Synthesis Outcomes 10  Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with 100% accuracy.  Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with at least 80% accuracy.  Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with less than 80% accuracy.  Makes no attempt to compute or interpret a confidence interval. 

Analysis Outcomes 10  Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with 100% accuracy.  Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with at least 80% accuracy.  Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with less than 80% accuracy.  Makes no attempt to apply the normal distribution, Central Limit Theorem, or binomial distribution. 

Terminology Outcomes 4,5,7  Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample, and population with 100% accuracy.  Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample, and population with at least 80% accuracy.  Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample, and population with less than 80% accuracy.  Makes no attempt to explain any of the terms listed. 

Concepts Outcomes 1,6  Can explain mean, median, mode, standard deviation, simple probability, and measures of location with 100% accuracy.  Can explain mean, median, mode, standard deviation, simple probability, and measures of location with at least 80% accuracy.  Can explain mean, median, mode, standard deviation, simple probability, and measures of location with less than 80% accuracy.  Makes no attempt to define any concept. 

Application Outcomes 1,2,3,8,9  Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All must be done with 100% accuracy.  Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All must be done with at least 80% accuracy.  Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All are done with less than 80% accuracy.  Makes no attempt to compute any of the probabilities or statistics listed. 

Whole Artifact Outcomes 7,8  Can apply the concepts of probability and statistics to realworld problems in other disciplines with 100 % accuracy.  Can apply the concepts of probability and statistics to realworld problems in other disciplines with at least 80 % accuracy.  Can apply the concepts of probability and statistics to realworld problems in other disciplines with less than 80% accuracy.  Makes no attempt to apply the concepts to realworld problems. 

Components Outcomes 1  Can use a calculator or other computing device to compute statistics with 100% accuracy.  Can use a calculator or other computing device to compute statistics with at least 80% accuracy.  Can use a calculator or other computing device to compute statistics with less 80% accuracy.  Makes no attempt to use any computing device to compute statistics. 
Copyright:
This material is protected by copyright
and can not be reused without author permission.
Last Updated:1/9/2013 5:51:22 PM