Login

MAT135 Fall Syllabus

MAT135 Introduction to Statistics and Data Analysis

Online Syllabus

 

 

Instructor

Stacy L. Cognetti

Phone

(570) 983-9577

Office

Healey Hall

E-mail

Stacy.Cognetti@Falcons.Lackawanna.Edu

Office Hours

Online

 

Text:

Bluman, Allan G. (2014) Elementary Statistics: A Step by Step Approach, Ninth Edition.

PLUS A CALCULATOR CAPABLE OF PERFORMING ONE-VARIABLE STATISTICS.

 

Description:

This course introduces descriptive and inferential statistics with an emphasis on techniques and applications to real-world situations. Topics include descriptive statistics, statistical distributions, confidence intervals, hypothesis testing, contingency tables, regression, and correlation (3 credits). Prerequisite: College Algebra (MAT120) or Mathematical Reasoning(MAT115)

 

Objectives:

  • To develop quantitative skills necessary for analyzing and summarizing
  • To gain a working knowledge of descriptive statistical methods and their
  • To develop an understanding of probability and probability distributions, particularly the normal
  • To acquaint students with the concept of hypothesis testing and to distinguish between descriptive and inferential
  • To acquaint students with graphical techniques and the statistical methods used to analyze relationships between
  • To enable students to realize that statistics is fun!
  • To define statistics, discuss data types, contrast qualitative and quantitative data, and examine common applications of data analytical methods using real-world examples and
  • To develop procedures for listing and grouping quantitative data, both in tabular and graphical
  • To present basic descriptive statistical measures of location (mean, median, mode) and variability (range, variance, standard deviation).
  • To introduce the concept of probability and probability distributions, including the binomial and normal
  • To illustrate the concept of random samples and sampling distributions (of the mean) as a transition from descriptive and inferential
  • To distinguish between a sample and a
  • To calculate point and (confidence) interval estimates of the mean of a
  • To present methods for hypothesis testing of differences between means (one and two sample populations).
  • To present methods for analyzing enumeration data, as opposed to measurement
  • To describe (via calculation and graphs) statistical relationships between two

 

Requirements:

Students are required to be prepared for class (including homework assignments), purchase a textbook and conduct themselves in a professional manner.

Also, a non-graphing calculator is permitted for usage in this course.

 

Evaluation:

Syllabus Quiz/ Navigation Quiz/ Bio Post 10%

Online exams 50%

Comprehensive Online Final Exam 20%

Homework Assignments 10%

Attendance/Participation 10%

 

Attendance Policy:

Students enrolled in credit-bearing courses at Lackawanna College will fail any course(s) in which they accumulate absences beyond the maximum number allowed. This pertains to online courses as well.

Attendance is defined by participating in an academic activity within the online classroom, which includes posting in a graded discussion forum or submitting a written assignment. Postings not related to the aforementioned activities will not count for attendance purposes.

 

# of Days Required for Discussion in an Online Course

Maximum # of Weeks Allowed without Discussion

Twice on any four days in a week (8 total)

0

 

*Students who do not attend at least once in any seven consecutive day period will be issued an attendance warning.

**Students who do not attend at least once in any 14 consecutive day period will be dropped from the course.

***Students who do not log on to the course within the drop/add period for the course will be dropped from the course.

 

  • You are required to engage in discussion at least TWICE on FOUR days throughout the week for a total of EIGHT posts in all,
  • You should respond to the initial DQs posted AND respond to your
  • There are 2 DQ prompts each You are required to submit your response to DQ1 no later than Wednesday evening and DQ2 no later than Friday evening. Thisisrequiredsothatstudentshaveampletimetorespondtopostsandmovethediscussionforward.Ifpostswerenotdueuntiltheendofeachweektheclasswouldnotbenefitfromtheresponsesandfeedbackfromothersinthecourse.
  • Responses MUST be See the document titled Good Discussions in your Handouts and Links.
  • Responses that do not move the conversation forward by providing information to which others can respond and build upon will NOT be counted toward your weekly
  • Students who miss one week of discussion will be DROPPED from the
  • Students who do not log on to the course within the drop/add period for the course will be DROPPED from the

 Online Course Discussion Policy

In order to understand, remember, and benefit from what we learn in class, discussion and interaction are critical. Responses such as, “I like what you said.” “I agree.” Or “Good thinking.” are NOT acceptable. Also, you should NOT simply repeat what someone else has already said.

 

*** Attendance for this online course will be calculated as a grade and will be determined by successfully completing each weeks assignment(s).

 

Class Discussion Rubric

 

What Should I Do?

Points Available

Did I do This?

Where?

Points Earned

Answer both Discussion Questions directly demonstrating a clear understanding of the material, support your response with research or reading, and promote conversation (2 posts  total DQ1 due Wednesday and DQ2 due Friday)

10

 

 

 

Respond to at least two classmatesposts (2 posts)

15

 

 

 

Continue both conversations with at least one additional reply to each peer (2 posts)

15

 

 

 

Respond to at least one of the teachers secondary questions, conversing with a classmate who responds to the same question (2 posts)

10

 

 

 

Be sure all responses are detailed and clear and are posted twice on four separate days.

10

 

 

 

Be sure that all responses relate to the course reading and notes, your own everyday life, or to both

10

 

 

 

Provides the class with a response that is non-generic and inspiringmeaning that they learn from what you have contributed and can continue the conversation

10

 

 

 

Use proper grammar, spelling, and netiquette

10

 

 

 

TOTAL POINTS for EACH WEEKLY DISCUSSION:

100

 

 

 

 

Withdrawal Policy:

A student has the privilege of withdrawing from any courses or from the College itself without academic penalty up to and including the final date for withdrawal indicated on the College calendar.

 

To withdraw officially from a course or from the College, a student must obtain the proper withdrawal form from the Student Affairs Office or from your Center Director, complete this form and submit it to the Registrar's Office before the final day for withdrawal without academic penalty as indicated on the College calendar. If a student stops attending a course for which he/she is registered after the published census date (end of drop/add) without having officially withdrawn from the course, the student will be assigned an AW (penalty-grade failure) for the class. No exceptions will be made.

Students who violate the College's Academic Integrity Policy and fail a course in consequence may not exercise the withdrawal privilege in that particular course.

Financial obligations to the College will be determined according to the Refund Policy.

 

Instructor Policies

Exam Policy:

A missed exam will result in a recorded grade of 0%. A 2nd missed exam will result in Failure of the course. There are absolutely no exceptions to this policy. No exam will be given earlier than the scheduled date to any student for any reason. No individual, special assignments will be given for the purpose of raising an exam grade.

No makeup exams will be given at any time for any reason.

Grading:

Letter Grade

Numeric Range

Quality Points

A

96100

4.0

A-

9095

3.67

B+

8789

3.33

B

8386

3.0

B-

8082

2.67

C+

7779

2.33

C

7376

2.0

C-

7072

1.67

D+

6769

1.33

D

6066

1.0

F

059

0

 

Due Dates and Late Penalties:

Late assignments will not be accepted.

There will be no “extra credit.”

 

Academic Integrity

Academic dishonesty in any form, such as plagiarism and cheating, will not be tolerated. Sanctions will include an automatic F for plagiarism, but the severity or frequency of the violation may result in dismissal from the College as well. Please see the Student Handbook for a complete explanation.

The following are among the forms of dishonesty, in a classroom of any type, for which sanctions may be applied:

  • Using books, notes or other materials during an examination, unless expressly permitted;
  • Using purchased essays, term papers or preparatory research for such papers;
  • Copying others' work or engaging in unauthorized cooperation during an assignment or examination;
  • Allowing another student to copy from an examination or other assignment intended to be performed independently;
  • Borrowing from published works, whether material is taken verbatim or with minor alterations, without proper and/or sufficient acknowledgment;
  • Submitting as one’s own work originally done by someone else;
  • Submitting the same written report in more than one course without prior approval from the instructor(s) involved;
  • Stealing examinations or assignments;
  • Supplying or selling examinations or assignments;
  • Misrepresenting statements concerning work submitted;
  • Falsifying or fabricating experimental data or results;
  • Falsifying or fabricating the need for extensions on papers or make-up examinations.
  • Misrepresenting identity in an online course

(Please see student handbook for more information)

 

Disability Statement

Lackawanna College is an Affirmative Action, Equal Employment Opportunity institution.  Students with disabilities and other needs should feel free to contact the instructor privately if there are services and adaptations which can be made to accommodate specific needs.  Students who are having difficulties with class material are strongly advised to seek assistance in the reading and writing lab.  If you feel that you have a disability that has not been formally documented, you may meet with Mrs. Christine Kiehart in the Disability Services office to discuss your options. Please note that disability services do not include exemption from participation requirements in courses considered part of the School of Distance Education, including online and hybrid courses.

Lackawanna College Notice of Nondiscrimination

Lackawanna College will not discriminate in its educational programs, activities, or employment practices, based on race, color, national origin, sexual orientation, disability, age, religion, ancestry, union membership, or any other legally protected classification. Announcement of this policy is in accordance with State Law including the Pennsylvania Human Relations Act and with Federal Law including Titles VI and VII of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, Sections 503 and 504 of the Rehabilitation Act of 1973, the Age Discrimination Act of 1975, and Americans with Disabilities Act of 1990.

 

Title IX of the Education Amendment of 1972 is a federal civil rights law that prohibits discrimination on the basis of sex in federally funded education programs and activities. Lackawanna College is committed to providing an educational and work environment that is free from unlawful sexual discrimination including sexual harassment, sexual violence, and gender based harassment. 

 

In accordance with Title IX of the Education Amendments of 1972, Lackawanna College will not tolerate any forms of sexual misconduct including but not limited to: sexual harassment, sexual assault, sexual violence and gender-based harassment by employees, students or third parties. This includes prohibiting discrimination against pregnant and parenting students. The College also prohibits retaliation against any person who makes a claim of discrimination or harassment or who provides information in such an investigation. This policy applies to admissions, employment, treatment and access to all programs and activities that take place either on or off the campus at Lackawanna College. 

 

Lackawanna College will fully and promptly investigate all allegations of sexual misconduct and will take action reasonably designed to resolve the complaint in an equitable manner, end a hostile environment if one has been created, prevent its recurrence, and, when appropriate, take steps to remedy its effects on individuals and the college community.

Lackawanna College complies with Title IX and all other federal laws and regulations that prohibit discrimination in education programs or activities receiving federal financial assistance.

Reports or inquiries regarding nondiscrimination should be made to:

Title IX Coordinator/ Executive Director of the Student Wellness Program, Marsha Pigga, Angeli Hall, Room 102, 501 Vine Street, Scranton PA, 18509 (570) 955-1466/ (570) 677-7589, piggam@lackawanna.edu.

Equal Opportunity and Affirmative Action inquiries: Georgia Egan, Affirmative Action Officer/Director of Continuing Education, Angeli Hall, Room 300C, Vine Street, Scranton PA (570) 961-7815, EganG@lackawanna.edu or Tony Ferrese, Affirmative Action Officer/Seeley Hall Residence Director, Seeley Hall, First Floor, North Washington Avenue, Scranton PA, (570) 504-1760, FerreseT@lackawanna.edu.

Additional information regarding Title IX requirements and how to file a complaint with the Office of Civil Rights: Office of Civil Rights at www2.ed.gov/ocr, 800-421-3481. Philadelphia Office: Office for Civil Rights U.S. Department of Education, The Wanamaker Building,100 Penn Square East, Suite 515, Philadelphia, PA 19107-3323 Telephone: 215-656-8541, Email: OCR.Philadelphia@ed.gov.   

 

 

Portfolio and Coursework

Lackawanna College will empower you to experience learning by inspiring your critical thinking, accessing your talents and skills, motivating you toward a career choice, and encouraging you to make a difference. In evidence of this learning, the College requires a graduation portfolio containing Career Documents, including a résumé, two letters of recommendation, and a career exploration; Core Coursework, including a research paper from College Writing; three sample papers or projects from Major Coursework; and a Lackawanna College Reflection Paper.

 

Course Schedule

 

Week

Topic

Course Objective Met

Related Assignment, Assessment, or Learning Activity

1

ñ Descriptive and Inferential Statistics

ñ Classification of data

ñ To develop quantitative skills necessary for analyzing and summarizing data.

 

Read Syllabus, Submit : Syllabus Confirmation Statement, Syllabus Quiz, Scavenger Hunt, and Post Bio. Begin Chapter 1

 

ñ Descriptive and Inferential Statistics

ñ Classification of data

ñ Probability

ñ To develop quantitative skills necessary for analyzing and summarizing data.

ñ To gain a working knowledge of descriptive statistical methods and their applications.

ñ To develop an understanding of probability and probability distributions, particularly the normal distribution.

ñ  To define statistics, discuss data types, contrast qualitative and quantitative data, and examine common applications of data analytical methods using real-world examples and data.

Sections 1.1, 1.2,1.3 1.4, 1.5, 1.6, Chapter 1 HW, and submit Test #1

2

ñ Interpreting graphically represented data

ñ Frequency distributions

ñ To acquaint students with the concept of hypothesis testing and to distinguish between descriptive and inferential statistics. To define statistics, discuss data types, contrast qualitative and quantitative data, and examine common applications of data analytical methods using real-world examples and data.

ñ To develop procedures for listing and grouping quantitative data, both in tabular and graphical formats.

ñ  To acquaint students with the concept of hypothesis testing and to distinguish between descriptive and inferential statistics.

ñ  To acquaint students with graphical techniques and the statistical methods used to analyze relationships between variables. 

Sections 2.1, 2.2, 2.3, Chapter 2 HW, Test #2

3

ñ Graphically representing and interpreting data

ñ Measures of location and variability

 

ñ To develop procedures for listing and grouping quantitative data, both in tabular and graphical formats.

ñ To present basic descriptive statistical measures of location (mean, median, mode) and variability (range, variance, standard deviation).

Sections 3.1, 3.2, 3.3, 3.4, Chapter 3 HW, Test #3

4

ñ Probability

ñ Probability distributions

ñ Standard deviation

ñ Z scores

ñ Analyzing and interpreting statistical research

ñ To introduce the concept of probability and probability distributions, including the binomial and normal distributions.

ñ To illustrate the concept of random samples and sampling distributions (of the mean) as a transition from descriptive and inferential statistics.

ñ To distinguish between a sample and a population.

ñ  To develop an understanding of probability and probability distributions, particularly the normal distribution.

ñ  To acquaint students with the concept of hypothesis testing and to distinguish between descriptive and inferential statistics.

ñ  To acquaint students with graphical techniques and the statistical methods used to analyze relationships between variables.

ñ  To enable students to realize that statistics is fun!

 

Sections 4.1, 4.2 ,4.3, 4.4, 4.5 Test #4 , Chapter 4 HW, and submit Research Paper

5

ñ Confidence intervals

ñ Relationships between variables

ñ To calculate point and (confidence) interval estimates of the mean of a sample.

ñ To present methods for hypothesis testing of differences between means (one and two sample populations).

ñ To present methods for analyzing enumeration data, as opposed to measurement data.

ñ To describe (via calculation and graphs) statistical relationships between two variables.

ñ  To illustrate the concept of random samples and sampling distributions (of the mean) as a transition from descriptive and inferential statistics.

ñ  To distinguish between a sample and a population.

ñ  To calculate point and (confidence) interval estimates of the mean of a sample.

ñ  To present methods for hypothesis testing of differences between means (one and two sample populations).

ñ  To present methods for analyzing enumeration data, as opposed to measurement data.

ñ  To describe (via calculation and graphs) statistical relationships between two variables. 

5.1, 5.2, 5.3, 5.4, Chapter 5 HW, and Sections 6.1, 6.2, 6.3, 6.4 Test #5

 

ñ All course topics reviewed

ñ Review of all course objectives and content

 *All course topics

 Review and submit Final Exam!

 

 

Team Assignment Rubric

 

100pts

                  

Requirement

Did I do This?

Where? (i.e. slide number, page number, paragraph, etc.)

Points Available

Points Earned

Prepare a 2-3 page summary ( in APA format ) of your findings that includes:

a.) The purpose of the research study

b.) The methods used to collect and analyze the data

c.) Identify the type of data collection method (primary vs. secondary) used for the research.

d.) Were graphs or charts included? If so were they appropriate? If not what type of illustration would have been appropriate?

e.) Discuss either:

1.-how the research methods were flawed

or

2.-how the information was misinterpreted

 

 

 

Include a Works Cited Page in the proper APA format

 

Student: Check to ensure you have completed all assignment details

 Student: Where/how did you meet this requirement?

10pts -Paper length requirement

 

 

 

20 pts.- Purpose of the research

 

20 pts.- How the data was collected

 

10pts.- The type of data collected

 

 

 

 

 

10pts.- Examination of graphs/charts

 

 

 

 

 

 

 

 

 

 

20pts.- Anlysis of either how the research was flawed or the data was misinterpreted

 

 

 

 

 

10pts.-Include works cited

The points you received for each assignment  requirement

 

 

 

 

** Homework and Exams are to be uploaded on the Portal

* NOTE * There are two discussion questions per weekDQ1 due Wednesday, DQ2 due Friday

*Examinations:

Dates of exams are listed under the course schedule. Please be advised that all exams are given at one place and at one time.