NORTH CENTRAL TEXAS COLLEGE

COURSE SYLLABUS

COURSE AND INSTRUCTOR INFORMATION

Course title:  Elementary Statistical Methods

Course prefix, number, and section number:  MATH 1342 380

Semester/Year of course:  Spring 2023

Semester start and end dates: 1/17/2023 – 3/11/2023 (1^st 8-week session)

Modality:  Asynchronous online

Semester credit hours:  3 (Lecture hours: 48)

Course description:  Collection, analysis, presentation and interpretation of data, and probability. Analysis includes descriptive statistics, correlation and regression, confidence intervals and hypothesis testing. Use of appropriate technology is recommended.

Course prerequisites:  Meet TSI college-readiness standard for Elementary Statistics; or equivalent

Required course materials:  MyLab Statistics (e-text included in MyLab Statistics)

TI-30X IIS or TI 83-84 calculator is required

NOTE: Phone calculators will not be allowed on exams.

Optional course materials:  Fundamentals of Statistics: Informed Decisions Using Data 6^th edition, Michael Sullivan III, 2022, Pearson

Name of instructor: Cary Crawford

Office location: Flower Mound Campus Room 107 (Faculty Offices)

E-mail address: ccrawford@nctc.edu

Office hours for students: MW 10-12:30; TR 11-1:30

STUDENT HOURS (OFFICE HOURS)

Each week instructors have time set aside to meet with students outside of class. (Traditionally these times have been called “office hours”.) This is a time when a student may ask questions regarding the class, or discuss a particular problem/topic with an instructor one-on-one.  Student hours may be held in-person or online.  Come see me during the above times, or email me at ccrawford@nctc.edu to schedule a time online.

MATH TUTORING LAB

Students who need help with any math class can visit the NCTC Mathematics Lab to receive assistance.  There are math tutors available on every campus and online.  This service is free for all students enrolled in an NCTC math class. Sign up for an appointment or see the most current tutoring hours for all campuses at https://www.nctc.edu/math-lab. 

SYLLABUS CHANGE DISCLAIMER

The faculty member reserves the right to make changes to this published syllabus if it is in the best interest of the educational development of this class. Any such changes will be announced as soon as possible in person and/or writing.

SUMMARY OF COURSE ASSIGNMENTS

Section Title      *Due Date

1.1        Introduction to the Practice of Statistics                                                    Jan 19

1.2        Observational Studies versus Designed Experiments                             Jan 19

1.3 - 1.4             Simple Random Sampling and other Sampling Techniques      Jan 19

2.1        Organizing Qualitative Data                                                                            Jan 22

2.2        Organizing Quantitative Data                                                                        Jan 22

CANVAS            EXCEL 1                                                                                                    Jan 22

3.1        Measures of Central Tendency                                                                     Jan 26

3.2        Measures of Dispersion                                                                                    Jan 26

3.3        Measures of Central Tendency and Dispersion from Grouped Data     Jan 26

3.4        Measures of Position and Outliers                                                               Jan 29

3.5        The five number Summary and Boxplots                                                   Jan 29

CANVAS            EXCEL 2                                                                                                    Jan 29

4.1        Scatter Diagrams and Correlation                                                                Feb 2

4.2        Least Squares Regression                                                                                 Feb 2

CANVAS            EXCEL 3 and 4                                                                                        Feb 5

5.1        Probability Rules                                                                                                Feb 5

5.2        The Addition Rule and Complements                                                          Feb 5

5.3        Independence and the Multiplication Rule                                               Feb 9

5.4        Conditional Probability and the General Multiplication Rule               Feb 9

CANVAS            EXCEL 5                                                                                                    Feb 9

              Midterm EXAM (Sections 1.1-5.2)                                                               Feb 9-11

5.5        Counting Techniques                                                                                        Feb 12

5.6        Putting it All Together                                                                                       Feb 12

6.1        Discrete Random Variables                                                                             Feb 12

6.2        The Binomial Probability Distribution                                                          Feb 12

7.1        Properties of the Normal Distribution                                                        Feb 19

7.2        Applications of the Normal Distribution                                                    Feb 19

CANVAS            EXCEL 7                                                                                                    Feb 19

8.1        Distribution of the Sample Mean                                                                 Feb 23

9.1        Estimating a Population Proportion                                                            Feb 26

9.2        Estimating a Population Mean                                                                      Feb 26

CANVAS            EXCEL 8                                                                                                    Feb 26

10.1      Language of Hypothesis Testing                                                                   Mar 2

10.3      Hypothesis Testing for Population Mean                                                   Mar 2

              FINAL EXAM                                                                                                        Mar 9-11

Homework: 15%

Excel: 15%

Participation/Attendance: 5%

Exams: 65%

Final grade scale:  90 – 100% = A;   80 – 89% = B; 70 – 79% = C;  60 – 69% = D;  Below 60% = F

There are 2 exams: 1 Midterm and a Final. EXAMS MUST BE TAKEN IN
PERSON ON CAMPUS.

Late work policy: Homework may be submitted late for 20% off (regardless of how late).  Excel assignments will counted off 10% per day they are late.

SEE CANVAS FOR THE COMPLETE COURSE CALENDAR, OUTLINE, DETAILED DESCRIPTION OF GRADED WORK, AND OTHER RELATED MATERIAL.

COURSE POLICIES

Academic Integrity Policy:

Scholastic dishonesty shall include, but is not limited to cheating, plagiarism, academic falsification, intellectual property dishonesty, academic dishonesty facilitation, and collusion.  The use of online math solvers with submitted work is considered academic dishonesty.  Faculty members may document and bring charges against a student who is engaged in or is suspected to be engaged in academic dishonesty.  See Student Handbook, “Student Rights & Responsibilities: Student Code of Conduct ([FLB(LOCAL)]”.  

Consequences for academic dishonesty may include:

1. Zero on the assignment
2. Failing grade for the course

Attendance Policy: Weekly attendance will be taken each week using a google document, and is required.

Regular attendance is expected and necessary for student success in this course. For more information on attendance regulations please see the 2022-2023 NCTC Catalog.  (https://www.nctc.edu/catalog; Click on 2022-2023 CATALOG and go to page 138 to see Attendance Regulations)

Withdrawal Policy

A student may withdraw from a course on or after the official date of record. It is the student’s responsibility to initiate and complete a Withdrawal Request Form.

Last day to withdraw from a 16-week course with a “W” is: Monday, April 3, 2023

Last day to withdraw from a 1^st 8-week course with a “W” is: Monday, February 20, 2023

Last day to withdraw from a 2^nd 8-week course with a “W” is: Monday, April 24, 2023

Student Learning Outcomes:  At the successful completion of this course the student will be able to:

1. Explain the use of data collection and statistics as tools to reach reasonable conclusions.
2. Recognize, examine, and interpret the basic principles of describing and presenting data.
3. Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
4. Explain the role of probability in statistics.
5. Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables.
6. Describe and compute confidence intervals.
7. Solve linear regression and correlation problems.
8. Perform hypothesis testing using statistical methods.

Core Objectives:

X            Critical Thinking

X            Communication

X            Empirical and Quantitative

Teamwork

Personal Responsibility

Social Responsibility

COLLEGE POLICIES

STUDENT HANDBOOK

Students are expected to follow all rules and regulations found in the Student Handbook. To access Student Handbook go to NCTC homepage (www.nctc.edu), scroll to bottom and click “Student Handbook”.

ADA STATEMENT

NCTC will adhere to all applicable federal, state and local laws, regulations and guidelines with respect to providing reasonable accommodations to afford equal educational opportunity. It is the student’s responsibility to contact the Office for Students with Disabilities to arrange appropriate accommodations.  See the OSD Syllabus Addendum.

STUDENT SERVICES

NCTC provides a multitude of services and resources to support students.  See the Student Services Syllabus Addendum for a listing of those departments and links to their sites.

QUESTIONS, CONCERNS, or COMPLAINTS