NORTH CENTRAL TEXAS COLLEGE

COURSE SYLLABUS

 

 

COURSE AND INSTRUCTOR INFORMATION

 

 

Course title:  Elementary Statistical Methods

Course prefix, number, and section number:  MATH 1342.501

Semester/Year of course:  Spring 2023

Semester start and end dates: 1/17/2023 – 5/13/2023 (16-week session)                                                       

Modality:  Face to face

Class meeting location, days, and times: M/W 12:30-1:50

Support course (if needed):  NCBM 0142.501

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: FM 107 (Faculty Offices)

E-mail address: ccrawford@nctc.edu

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

 

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.  Come to Room 107 during the above times, or, if you need a different time, email me and we can set something up.

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

 

 

List of graded assignments: 

 

Section Title                                                                              *Due Date

1.1         Introduction to the Practice of Statistics                                            Jan 22

1.2         Observational Studies versus Designed Experiments                      Jan 25

1.3 - 1.4  Simple Random Sampling and other Sampling Techniques          Jan 27

2.1         Organizing Qualitative Data                                                                  Jan 29

2.2         Organizing Quantitative Data                                                               Feb 1

3.1         Measures of Central Tendency                                                            Feb 3

3.2         Measures of Dispersion                                                                        Feb 5

              EXCEL #1                                                                                                   Feb 5

              TEST 1                                                                                                       Feb 8

3.3         Measures of Central Tendency/Dispersion from Grouped Data              Feb 15

3.4         Measures of Position and Outliers                                                      Feb 17

3.5         The five number Summary and Boxplots                                           Feb 17

              EXCEL #2                                                                                                   Feb 19

4.1         Scatter Diagrams and Correlation                                                       Feb 22

4.2         Least Squares Regression                                                                     Feb 24

EXCEL #3                                                                                                   Feb 26

5.1         Probability Rules                                                                                     Mar 1

5.2         The Addition Rule and Complements                                                 Mar 3

EXCEL #4                                                                                                   Mar 5

              TEST 2                                                                                                       Mar 8

SPRING BREAK   SPRING BREAK                                                                          Mar 13-17

5.3         Independence and the Multiplication Rule                                       Mar 22

5.4         Conditional Probability and the General Multiplication Rule              Mar 24

5.5         Counting Techniques                                                                             Mar 26

              EXCEL #5                                                                                                   Mar 26

5.7         Putting it All Together                                                                           Mar 29

6.1         Discrete Random Variables                                                                  Mar 31

6.2         The Binomial Probabliity Distribution                                                Apr 2

              EXCEL #6                                                                                                   Apr 2

              TEST 3                                                                                                       Apr 5

7.1         Properties of the Normal Distribution                                                Apr 12

7.2         Applications of the Normal Distribution                                            Apr 14

              EXCEL #7                                                                                                   Apr 16

8.1         Distribution of the Sample Mean                                                        Apr 19

9.1         Estimating a Population Proportion                                                    Apr 21

9.2         Estimating a Population Mean                                                             Apr 23

EXCEL #8                                                                                                   Apr 23

10.1       Language of Hypothesis Testing                                                          Apr 26

10.3       Hypothesis Testing for Population Mean                                           Apr 28

              Test 4                                                                                                        May 1

              FINAL EXAM                                                                                             May 10 (12:30)

                            

 

Homework: 10% of overall grade

Excel Assignments: 15% of overall grade

Exams: 75% of overall grade

The final exam may also be used to replace the lowest unit test grade.

 

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

 

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

I will allow one make-up exam IF you notify me ahead of time.  If you do not notify me ahead of time, and you miss an exam, you will receive a zero (which may be replaced by the final exam grade)

 

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:

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

 

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