NORTH CENTRAL TEXAS COLLEGE

COURSE SYLLABUS

COURSE AND INSTRUCTOR INFORMATION

Course title:  Elementary Statistical Methods

Course prefix, number, and section number:  MATH 1342 381

Semester/Year of course:  Spring 2023

Semester start and end dates: 3/20-3/13 (2nd 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: In-person: MW 10-12:30; TR 11-1:30 and online: T 8-9:15

STUDENT HOURS (OFFICE HOURS)

You can come see me in my office during the above times, or I will have scheduled online office hours on Tuesdays at 8:00.  If you want to meet online at another time, let me know. ccrawford@nctc.edu. 

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                                            Mar 22

1.2       Observational Studies versus Designed Experiments                        Mar 22

1.3 - 1.4           Simple Random Sampling and other Sampling Techniques   Mar 22

2.1       Organizing Qualitative Data                                                               Mar 24

2.2       Organizing Quantitative Data                                                             Mar 24

CANVAS           EXCEL 1                                                                                   Mar 26

3.1       Measures of Central Tendency                                                           Mar 29

3.2       Measures of Dispersion                                                                      Mar 29

3.3       Measures of Central Tendency and Dispersion from Grouped Data Mar 29

3.4       Measures of Position and Outliers                                                     Mar 31

3.5       The five number Summary and Boxplots                                           Mar 31

CANVAS           EXCEL 2                                                                                   Apr 2

4.1       Scatter Diagrams and Correlation                                                      Apr 5

4.2       Least Squares Regression                                                                   Apr 5

5.1       Probability Rules                                                                                 Apr 7

5.2       The Addition Rule and Complements                                                 Apr 7

CANVAS           EXCEL 3 and 4                                                                         Apr 9

5.3       Independence and the Multiplication Rule                                        Apr 12

5.4       Conditional Probability and the General Multiplication Rule            Apr 12

            Midterm EXAM (Sections 1.1-5.2)                                                     Apr 12 6-8 pm

5.5       Counting Techniques                                                                          Apr 19

5.6       Putting it All Together                                                                         Apr 19

6.1       Discrete Random Variables                                                                Apr 21

6.2       The Binomial Probability Distribution                                                 Apr 21

CANVAS           EXCEL 5                                                                                   Apr 23

7.1       Properties of the Normal Distribution                                                Apr 26

7.2       Applications of the Normal Distribution                                             Apr 26

8.1       Distribution of the Sample Mean                                                       Apr 28

CANVAS           EXCEL 7                                                                                   Apr 30

9.1       Estimating a Population Proportion                                                   May 3

9.2       Estimating a Population Mean                                                           May 3

10.1     Language of Hypothesis Testing                                                         May 5

CANVAS           EXCEL 8                                                                                   May 7

10.3     Hypothesis Testing for Population Mean                                           May 8

            FINAL EXAM                                                                                       May 10 6-8 pm

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 .  If you cannot take it at the scheduled time, you must take it at a campus testing center.

Late work policy: Homework may be submitted late for 20% off (regardless of how late).  Excel assignments will be 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 2nd 8-week course with a “W” is: Monday, April 24

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