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Course  MA 120 Basic Concepts of Statistics 
Semester  S1J 2013 DN 
Faculty  Amundson, Craig 
Title  Adjunct Faculty 
Degrees/Certificates  B.S. NucEng M.S. ElecEng 
Daytime Phone  9139826460 
EMail  craig.amundson@park.edu 
Semester Dates  1/14/2013 to 3/10/2013 
Class Days  W 
Class Time  5:30  10:00 PM 
Prerequisites  None 
Credit Hours  3 
Textbook:
Elementary Statistics  With CD
Required • Edition: 11TH • Triola, Mario F.
ISBN: 9780321694508
You will also need a calculator. An inexpensive (less than $15) "Scientific" calculator is sufficient. Any Casio or Texas Instruments calculator you would find at the end of an aisle that says "Scientific Calculator" is bound to be adequate. However, when in doubt, come to the first class and we'll discuss. Textbooks can be purchased through the MBS bookstore
Additional Resources:
McAfee Memorial Library  Online information, links, electronic databases and the Online catalog. Contact the library for further assistance via email or at 8002704347.
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Resources for Current Students  A great place to look for all kinds of information http://www.park.edu/Current/.
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Course Description:
MA120 Basic Concepts of Statistics (GE): 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. 3:0:3Educational Philosophy:
It is this faculty's educational philosophy to create and foster a fun and active learning environment where students can explore learning concepts, theories, and applied concepts. Students are encouraged to work collaboratively through the learning process and to respect each student's contributions to the learning environment.
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:
Assessment of learning will be determined by using the following:
1. Quizzes/Project: Announced quizzes and a project on material will be administered.
2. Core Assessment: Comprehensive final exam in addition to quizzes.
3. Class Participation: Active participation in class is encouraged.
Grading:
The final course grade will be determined using the following measurements:
Quizzes/Project 66%
Core Assessment 33%
Class Participation 1%
Total 100%
The weekly quizzes will be very similar to the assigned homework. Completion of the homework prior to class should correlate to successful completion of the quiz. To achieve the maximum grade for class participation, the student should attend all classes, remain alert and attentive, answer questions when asked, avoid disruptive behavior, and actively participate in discussions and small groups as appropriate. The final is part of the core assessment. The final is a departmental exam and it will be provided to the instructor by the department of mathematics. The final is 2 hrs; books, notes, and a calculator are allowed.
The following will be used to assign course letter grades:
90  100 A
80  <90 B
65  <80 C
60  <65 D
Below 60 F (or 3 unexcused or 4 total absences)
There will be no curve used in the grading nor will extra work be accepted for credit.
Late Submission of Course Materials:
There are no assignments to be turned in for grade besides the class project.
Classroom Rules of Conduct:
Class Participation is expected and will form a part of the final grade. Students are expected to attend all classes and be on time. Roll will be taken each class meeting. Classes missed for legitimate reasons, such as illness, work, family emergencies, are excusable; however, the student must notify the instructor (prior to the class to be missed if possible) and make up the missed work as follows:
o Read and be responsible for assigned readings/course content;
o If a quiz is to be missed it must be taken during the following week's class.
o It is the student's responsibility to contact the instructor and arrange to take the quiz.
The core assessment must be completed before 10:00 pm on 7 March 2012. If the core assessment is not taken and the student has not withdrawn, a GRADE of “F” will be awarded.
Course Topic/Dates/Assignments:
Class

Date

Quiz; Lecture

Lecture Homework*

1

18 Jan 12

No Quiz; Chapters 1  3

Sec 33: 5,6,8,29,30

2

25 Jan 12

Quiz 3; Chapter 4

Sec 43: 2132;
Sec 44: 1316,27,29;
Sec 45: 2326

3

1 Feb 12


Sec 52: 710,18,19;
Sec 53: 1520,2934;
Sec 54: 58

4

8 Feb 12


Sec 63: 2127
Sec 65: 58,17,20

5

15 Feb 12


Sec 73: 14,15,21,24
Sec 74: 13,14,21,23

6

22 Feb 12

Quiz 7; Chapter 8

Sec: 84: 10,16
Sec 85: 21 (n=100 & n=10)

7

29 Feb 12

Quiz 8; Review&Project

Project Completion

8

7 Mar 12

Core Assessment


* Note: Homework assignment is in preparation for Quiz given at next class session.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:12/11/2012 6:10:48 PM