MAT 152

Title: School Logo - Description: A-B Tech Logo, with largely scaled letters A & B.

Arts and Sciences Division

Statistical Methods I Syllabus

Any changes to the syllabus will be posted in the College’s Learning Management System prior to implementation of change.

Course Information


  • Course/Section: MAT 152
  • Course Hours:Contact Hours 5; Credit Hours 4
  • Semester:Fall 2019
  • Meeting Times: 2nd block
  • Meeting Location:Room 318
  • Prerequisites: DMA 050 and DRE 098 or appropriate placement
  • Co-requisites: MAT 001S may be required
  • Course Description per catalog: This course provides a project-based approach to introductory statistics with an emphasis on using real-world data and statistical literacy. Topics include descriptive statistics, correlation and regression, basic probability, discrete and continuous probability distributions, confidence intervals and hypothesis testing. Upon completion, students should be able to use appropriate technology to describe important characteristics of a data set, draw inferences about a population from sample data, and interpret and communicate results. This course has been approved for transfer under the Comprehensive Articulation Agreement as a general education course in Mathematics (Quantitative).
  • Text: Triola, Elementary Statistics Using Excel, 6th Edition, ISBN:0134763785 9780134763781 05/11/2017 AS
  • Supplies/Materials:A graphing calculator is required.  Students may only use calculators that have been approved by their instructors for assessments.  The TI-83/84 series is pre-approved for all courses.  Calculators with a CAS system are not approved.  Instructors may approve the use of the Desmos Test Mode App for assessments.  If this App is approved, students must demonstrate that it has been enabled before receiving any assessment.  Upon completion of the assessment, instructors must witness the App being disabled in order to verify the time spent using the App.  Any time discrepancies will result in a zero on the assessment, and the privilege to use the Desmos Test Mode App will be revoked for the remainder of the semester.
  • Course ID:

Instructor Information

  • Instructor Name:Tracy Kuykendall
  • Office Telephone Number:828-645-4221
  • Email Address:tracy.kuykendall@bcsemail.org
  • Office Location:Room 318

Course Learning Outcomes/Objectives

Upon successful completion of the course, the student will be able to:

•    Organize, display, calculate, and interpret descriptive statistics

  • Apply basic rules of probability
  • Identify and apply appropriate probability distributions
  • Perform regression analysis
  • Analyze sample data to draw inferences about a population parameter
  • Communicate results through a variety of media

*This course, and assignments therein, may be used to assess General Education Core Competencies or Program Student Learning Outcomes.

A-B Tech General Education Outcomes

Expected competencies students will develop in this course:

  • Students will critically evaluate information
  • Students will solve problems
  • Students will effectively communicate

Additional information can be located on A-B Tech’s website at the following link: Course Syllabus Information.

Evaluation Criteria

Table 1 Course Grading Breakdown

Grade Break Down

Percentage

Homework

15%

Tests

45%

Labs/Quizzes

20%

Final Assessment

20%

Total:

100%

 

Final Assessment or Exam:  Each instructor will schedule a comprehensive final course assessment at some point during the last five days of the semester or the last two days of the class. The assessment may consist of one or multiple components or methods. The course schedule will indicate the date(s) and method(s) of evaluation. If the final evaluation is given prior to the last day of class, the schedule will reflect the class activities to take place after the final evaluation.  Students are required to take their final examinations at the time(s) and place(s) scheduled. Conflicts may be resolved by arrangement with the faculty member. Three assessments scheduled for the same day is considered a conflict.

 

Grading System

Grade Letter

Associated Percentages or Points

A

90-100

B

80-89

C

70-79

D

60-69

F

Below 60

Participation Requirements

It is mandatory that the student attend each course at least once during the first 10% of the course, or in the case of online courses, a graded activity must be submitted during the first 10% of the course. Each online course syllabus must identify the activity to be completed prior to the 10% point of the course and the date by which the activity must be completed. For hybrid courses, the student must attend the classroom portion of the course or complete an online graded activity prior to the 10% point. Failure to attend or complete the activity prior to the 10% point will result in the student being dropped from the course. The student will not be allowed to continue in the course or receive a refund.

Regular and punctual class participation is required of all students and essential for success, which is dependent upon active involvement in all instructional activities. To receive a passing grade, students must participate in 80% of the contact hours of the course. Active participation, regardless of course format (seated, online, hybrid), includes submission of completed assignments by the posted due dates and timely completion (as specified by the instructor) of any other course requirements: tests and exercises, discussion board entries and other group work, lab participation, and any other activities assigned in the course syllabus, discussed in class, or described in online instructional materials as contributing to the final grade..  If a student does not meet the requirement of 80% active participation, the student may be assigned an F grade for the course.

Rights, Responsibilities, and Procedures

Information on Rights, Responsibilities, and Procedures pertaining to students can be located on A-B Tech’s website at the following link: Course Syllabus Information.

ADA/Accessibility

A-B Tech is committed to creating an environment that meets the needs of its diverse student body.  If you have a disability, think you may have a disability, or are having issues with the accessibility of course materials, please contact Support Services to arrange appropriate accommodations to ensure access to your education. You can find all information and request forms at the following link: Student Service Overview.

Course Evaluation by Students

Students will have the opportunity to provide constructive feedback on their courses each semester at approximately the 50% completion point through an online survey.  All responses are anonymous unless a student chooses to self-identify in submitted comments.  Results are used to determine whether changes should be made during the second half of the course to improve the learning experience for students.  Additional information can be located on A-B Tech’s website at the following link: Course Syllabus Information.

Mathematics Department Policies and Expectations

Email:

A-BTech student email is to be used for official school business.  Students are held responsible for any information emailed.  Emails should adhere to professional standards.  This is the best way to communicate with your instructor.  Expect a response no later than 48 hours from the time the email was sent.  Any email that is not written in a professional tone will not get a reply, but returned to the student.  This will give the student the opportunity to rewrite the email and get a response

 

Expectations: 

You will come to class prepared.  This means you need to read through sections and examples before class.  You need to have any assignments due ready at the beginning of class.  You are expected to arrive on time and check your A-B Tech student email regularly.  Be attentive during class by taking good notes, asking questions, and not being distracted by technology.

Assessments:

Any assessment submitted for grading must by created by the student for the current course.  Submitting any work from a previous course will result in an automatic grade of zero.

Course Requirements and Expectations

Important Dates:

First Day of Class: August 19th
Last date to withdraw (W):   
August 30th
Holidays/breaks
:  BCS Calendar
Last Day of Class:
December 14th ( December 20th for BCS students)

 

Communication:

My preferred form of communication is tracy.kuykendall@bcsemail.org . I will usually respond to emails within 24 hours during the workweek.

Grading:

Final grades for this course will be calculated and posted in the Moodle gradebook and/or Powerschool.   Assessment grades will be posted in Moodle/Powerschool within a week of their due date. Grades for more complex projects or labs may take longer. If this occurs, students can contact their instructor for more details. No additional assignments or make-up work will be accepted after the final course grade has been postedCheck your gradebook on a regular basis for accuracy.

Make-up Work:

[Submitting work late can happen with instructor approval – communication for this adjustment must occur BEFORE the deadline and not at the last minute. The opportunity to submit files or participate in Moodle activities will be an automated process. When the deadline arrives, the opportunity to participate may no longer be available. Barring an emergency, there are few exceptions. Taking late assignments puts me behind on grading and thus negatively affects everyone.]

Course Content:

I.              Module One

  1. Statistical and Critical Thinking
  2. Types of Data
  3. Collecting Sample Data
  4. Introduction to Excel
  5. Frequency Distribution
  6. Histograms
  7. Statistical Graphs
  8. Scatter Plots and Correlation
  9. Measures of Center
  10. Measures of Variation
  11. Measures of Relative Standing and Boxplots

                                                    

II.             Module Two

  1. Basics of Probability
  2. Addition and Multiplication Rules
  3. Complements, Conditional Probability
  4. Counting
  5. Probabilities Through Simulations
  6. Binomial Probability Distributions
  7. Poisson Distribution

 

III.            Module Three

  1. The Standard Normal Distribution
  2. Real Applications of the Normal Distribution
  3. Sampling Distributions and Estimators
  4. The Central Limit Theorem
  5. Assessing Normality
  6. Estimating a Population Proportion
  7. Estimating a Population Mean
  8. Estimating a Population Variance and Standard Deviation

 

IV.            Module Four

                               

  1. Basics of Hypothesis Testing
  2. Testing a Claim About a Proportion
  3. Testing a Claim About a Mean
  4. Testing a Claim About a Variance or Standard Deviation
  5. Correlation
  6. Regression

 

V.             Module Five

  1. Contingency Tables
  2. Control Charts for Data, Mean and Variation
  3. Projects
  4. Ethnics In Statistics

 

 

Course Schedule

Any changes to the syllabus will be posted in the College’s Learning Management System prior to implementation of change.

Date/Week of ...

Preparation required by student, Topic, etc.

Activity, Assignment, etc.

August 19

Course Orientation

Ch1 Programming in a Mobile, Web-based World

Syllabus review, SELF video, Instructions to download Excel, Excel assignments

August 26

Finish Chapter 1, Chapter 2.1-2.2

Chapter 1 Powerpoints, Quiz Chapter 1

September 3rd

Chapter 1 HW/Quiz due

Chapter 2 Excel Lab due

Chapter 2 group Lab using Excel

Excel group project

Chapter 2 Powerpoint

Online: Chapter 2 HW/Quiz due

September 9th

Preparation for MML Test 1 on Chapter 1 and 2.1-2.3

Chapter 3.1-3.2 Measures of Center and Variation, 3.3 Empirical Rule and Z-scores/Interpretations

In class MMl Test 1 on Chapter 1 and 2.1-2.3

In class: Using TI-84 to find measures of center and variation

Online: HW/Quiz Chapter 3.1-3.2

3.3 Activities/videos

September 16th

Chapter 3 Review and Test,

Chapter 10 Regression and Section 2.4 Scatterplots without Hypothesis testing

Group LAB Chapter 3

Chapter 3 Test

September 23rd

Chapter 10 Regression Excel Activity

Introduction of Project Proposals due by 10/11

Complete Project Proposal Project due

Excel Activity: Constructing scatterplots and finding regression line

 

In class submission of Project Proposal with dataset and scatterplot by midnight via email.

(10% deduction per class day for late submission)

InClass Group Lab ch 10

September 30th

Chapter 4 Probability: Introduction

Chapter 4.2-4.3

Chapter 4 Probability: Introduction, Counting Principle, and Combinations

Chapter 4 Conditional Probability, Bayes Rule, Permutations

Chapter 4 Group LAB in class

Online Chapter 4 HW/Quiz

October 7th

Chapter 4 Review

Submit via email Part 1 of Final Project: Excel and Powerpoint Chapter 1-3 and 10

Chapter 4 Activities and Finish Group LAB

Online HW 4.1-4.4 due

Submission of Excel and Powerpoint slides Chapter 1-3 and 10 due 11/1

October 14th

Chapter 5 Uniform and Normal Distributions for Discrete Variable

5.2 Binomial Probability

5.3 Poisson Distributions

Chapter 5 Introduction: Uniform and Normal Distribution for Discrete Data

Chapter 5 Activities, Group LAB

Chapter 5 Online HW/Quiz

October 21st

Review of Chapter 4 and 5

Test on Chapter 4 and 5

Feedback on Final project submission

October 28th

Chapter 6

6.1-6.2 Normal Distribution for Continuous Variable: normalcdf()

6.3-6.5 Sampling distribution and Central Limit Theorem, Assessing Normality

Chapter 6 HW/Quiz

November 4th

November 11th

Veterans Day Holiday

Chapter 7.1-7.2

Working on Final Project in class

Chapter 7.1-7.2 activities

Online 7.1-7.2 HW/Quiz

November 18th

November 25th

Thanksgiving Holiday

Chapter 8.1-8.3

Chapter 7-8 Hypothesis Testing

Hypothesis testing using Final project data

December 2nd

Submission Final Project: Excel and Powerpoint on Chapter 1-3, 10, 7-8 on Moodle

Finish Final Project

Final Project Moodle submission

Online Chapter 8.1-8.3 HW/Quiz

 

December 9th

Review for Test 4 on Chapter 6,7 and 8

Inclass test on Chapter 6, 7, and 8

Online chapter 8 hw due

December 16th

Final Project Presentations

Oral Presentations of Final Project