Introduction to Statistics

Course Code:

Credit Hours:

Effective beginning:

001-003, 700, 800


Course Description:
An introductory statistics course covering various statistical applications for business, medical/nursing, education, psychology, natural science, and social science majors. The course introduces descriptive and inferential statistics through such topics as measures of central tendency and dispersion, discrete and continuous probability distributions, sample designs and sampling distributions, statistical estimation, correlation, regression, Chi-Square analysis, hypothesis testing, and computer analysis of various statistical concepts. Credit will not be granted to students who have previously received credit for STA 2122.


Course Details


A "C" grade or higher must be earned to advance to a higher-level mathematics course or to satisfy part of the general education requirements in mathematics.



Stan Young

Stephanie Ward


Required textbooks/ course materials:

Elementary Statistics with Pearson eText and Access Card,, 14th Edition, Pearson, ISBN: 9780137374748.

You are not required to buy the book for this course.

You can purchase just the access code that contains the eBook, ISBN:  8220123161095 (instant access). 

A TI-84 graphing calculator is required for this course.


Assignment/course outline:

See first-day handout.


Discipline-level learning outcomes:

Area 3 -Math:   Demonstrate Basic Mathematical Skills and Knowledge

The purpose of the mathematics component of the core curriculum is to develop quantitative literacy with an ability to apply basic mathematical tools in the solution of real-world problems.

M-1 Solve mathematical problems by using arithmetic, algebraic, or geometric skills.

M-2 Translate basic mathematical information verbally, numerically, graphically, or symbolically. 

M-3 Solve mathematical problems using appropriate technology.

M-4 Interpret mathematical models such as formulas, graphs, tables, or schematics.

M-5 Solve contextual problems using mathematical processes.


Course-level learning outcomes:

Course-level student learning outcomesDiscipline-level learning outcomesAssessment methods
  • Demonstrates understanding of the basic principles of designing a study.
  • Demonstrates understanding of descriptive statistics through performing and interpreting calculations.
  • Organizes raw data, and creates graphs and tables to display information, with and without the use of appropriate technology.
  • Perform test of hypothesis and make sound inferences about a population based on procedures performed on sample data.
  • Identify the appropriate formulas and/or tables to determine the probability of events occurring using basic probability rules, the binomial probability distribution, and the normal probability distribution.

M1, M2, M3, M4, M5

M1, M2, M3, M4, M5

M2, M3, M4

M1, M2, M3, M4, M5

M1, M2, M3, M4, M5

Homework, Unit Test, Cumulative Final


Means of accomplishing learning outcomes:

  • Teacher Facilitated: The teacher will be leading class discussions on the material contained in the text during each class period.
  • Student-centered: The students will take notes and practice solving problems during each class period.
  • Office Hours: The instructor will be available during office hours for individual assistance. The instructor’s schedule can be found posted on their office door and/or via their individual web site.
  • ACE Lab Tutors: Student tutors are available in the lab to provide individualized help. Hours can be found posted each semester on the lab door and/or via the web site.


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