BSNS 2514 Business Statistics Syllabus 030 Spring 2026

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Credit Hours 4.00 Lecture Hours 4 Clinical/Lab Hours 0
Type of Credit
Baccalaureate/Transfer
CIP Code
27.0501
Course Meeting Time

MW 9:00 am - 10:40 am in room L366

Course Description

This course focuses on statistical reasoning and solving problems using real-world data. Students will use technology-based computations using a graphing calculator with a statistical package, spreadsheets, or statistical computing software. Emphasis is on interpretation and evaluation of statistical results. Topics include data collection processes (observational studies, experimental design, sampling techniques, bias), descriptive methods using quantitative and qualitative data, bivariate data, correlation, least-squares regression, basic probability theory, probability distributions (normal distributions and normal curve, binomial distribution), chi-square tests, one-way analysis of variance, and confidence intervals and hypothesis tests using p-values. Students cannot receive credit for both MATH 1774 and BSNS 2514. IAI: BUS 901 Business. IAI: M1 902 Mathematics.

Prerequisites

Appropriate assessment score; MATH 1424 with a grade of C or better; MATH 0985 with a grade of C or better; or High School transitional math: STEM pathway - Must be completed prior to taking this course.

Course Alignment

IAI Number
M1-902
MATH-01
IAI Title
General Education Statistics
Statistics
General Education Outcomes

General Education Outcomes are the knowledge, skills, abilities, attitudes, and behaviors that students are expected to develop as a result of their overall experiences with any aspect of the college, including courses, programs, and student services, both inside and outside of the classroom. The General Education Outcomes specifically learned in this course are:

  1. Communication
  2. Critical Thinking
Explanation of Course Alignment

This course focuses on statistical reasoning and on solving problems using real-world data rather than on computational skills. Use of technology-based computations (such as spreadsheets, or statistical computing software) is required with emphasis on interpretation and evaluation of statistical results. Topics include data collection processes (observational studies, experimental design, sampling techniques, bias), descriptive methods using quantitative and qualitative data, bivariate data, correlation, and least-squares regression, basic probability theory, probability distributions (normal distributions and normal curve, binomial distribution), chi-square tests, one-way analysis of variance, confidence intervals, and hypothesis tests using p-values. Students cannot receive credit for both MATH 1774 and BSNS 2514. IAI: M1 902 Mathematics. IAI: BUS 901 Business.  

Prerequisite:
Appropriate assessment score or Math 1424 with a grade of C or better, or Math 0985 with a C or better, and ENGL 1413 with a grade of C or better, or appropriate assessment score. Must be completed prior to taking the course. This course serves as a general introduction to statistics, focusing on mathematical reasoning and the solving of real-life problems. Contents include descriptive methods, measures of central tendency and variability, elementary probability theory, probability distributions, sampling techniques, confidence intervals for the mean or proportion, tests of hypotheses, chi-square, correlation and linear regression, and the F-test and one-way analysis of variance. Students cannot receive credit for both MATH 1774 and BSNS 2514. AAS: Mathematics elective; IAI: M1 902 Mathematics.

Faculty Contact Information

Faculty Name
Jorge R. Gavillan
Faculty Email
jgavillan@kcc.edu
Faculty Office Number
R303
Faculty Student Support Hours

MW: 8 am - 9 am

TTH: 8 am - 9 am

Faculty Information

Jorge R. Gavillan, M.S.

email: jgavillan@kcc.edu

Course Information

Course Outcomes

At the end of this course, students will be able to:

  1. Organize data using frequency distributions and graphs
  2. Distinguish between the different types of studies and different types of random sampling
  3. Describe (summarize) data using measures of central tendency and dispersion
  4. Perform calculations associated with fundamental distributions and solve related application problems
  5. Construct confidence intervals for means and proportions
  6. Perform hypothesis tests for means and proportions using p-values.
  7. Calculate correlation coefficient and check its significance
  8. Estimate a regression equation and interpret its coefficients
  9. Use technology to complete basic statistical analyses
Topical Outline
  1. Data Collection
    1. Introduction to the Practice of Statistics
    2. Observational Studies vs Designed Experiments
    3. Simple Random Sampling
    4. Other Effective Sampling Methods
    5. Bias in Sampling
    6. The Design of Experiments
  2. Descriptive Statistics
    1. Organizing Qualitative Data
    2. Organizing Quantitative Data: The Popular Displays
    3. Additional Displays of Quantitative Data
    4. Graphical Misrepresentations of Data
  3. Numerically Summarizing Data
    1. Measures of Central Tendency
    2. Measures of Dispersion
    3. Measures of Central Tendency and Dispersion from Grouped Data
    4. Measures of Position and Outliers
    5. The Five-Number Summary and Boxplots
  4. Describing the Relation Between Two Variables
    1. Scatter Diagrams and Correlation
    2. Least Squares Regression
    3. Diagnostics on the Least-Square Regression
    4. Contingency Tables and Association
  5. Probability and Probability Distributions
    1. Probability Rules
    2. The Addition Rule and Complements
  6. Discrete Probability Distributions
    1. Discrete Random Variables
    2. The Binomial Distribution
  7. The Normal Probability Distribution
    1. Properties of the Normal Distribution
    2. Applications of the Normal Distribution
    3. Assessing Normality
  8. Sampling Distributions
    1. Distribution of the Sample Mean
    2. Distribution of the Sample Proportion
  9. Estimating the Value of a Parameter
    1. Estimation a Population Proportion
    2. Estimating a Population Mean
    3. Estimating a Population Standard Deviation
    4. Putting It Together: Which Procedure Do I Use?
  10. Hypothesis Tests Regarding a Parameter
    1. The Language of Hypothesis Testing
    2. Hypothesis Tests for a Population Proportion
    3. Hypothesis Tests for a Population Mean
    4. Hypothesis Tests for a Population Standard Deviation
  11. Inferences on Two Samples
    1. Inference about Two Population Proportions
    2. Inference about Two Means: Dependent Samples
    3. Inference about Two Means: Independent Samples
  12. Inference on Categorical Data
    1. Goodness-of-Fit Test
    2. Tests for Independence and the homogeneity of Proportions
  13. Comparing Three or More Means
    1. One-Way Analysis of Variance
Textbook/s and Course Materials

Statistics: Informed Decisions Using Data, 7th Edition
Author(s): Sullivan III, Michael
Textbook ISBN-13: 9780138253332

MyStatLab Access Code required
We will use Excel extensively in this course. You have access to Excel through Office 365. Download the app, and it's recommended not to use the online version.

Methods of Evaluation

Category Percentage of final grade

Pass Quiz 5%
Homework 10%
Labs 25%
Semester Project 33%
Final Presentation 32%

Course Policies

Course Policies
Attendance Policy: Please be prompt for all classes. Students are fully responsible for any and all information missed due to absence. Assignments not finished and quizzes and tests not taken due to absences will result in a “0.” Attendance is taken every class hour. Attendance is used as a data tool for athletes, grade analysis, and financial aid purposes. It does not count for a grade. If you are tardy, please see the instructor at the end of class so your attendance can be counted. Calculator Usage Policy: We will be using Excel, so a graphing calculator will not be required. Homework: Homework will be assigned and completed using MyLab & Mastering. As many opportunities as
necessary are granted to achieve full credit; thus, persistence is the key. Homework is your opportunity to practice and master the material. Homework is due on the date and time listed in MyLab & Mastering.
Project: The semester projects will be done individually. Information about the project will be given out in ample time before the due date.
Final Presentation: There will be one final presentation. Specific information about the project will be given later.

Expectations for Classroom and Online Behavior

Students are expected to conduct themselves in a respectful, professional, and responsible manner in all classroom and online learning environments. This includes demonstrating courtesy toward instructors and peers, actively engaging in course activities, and contributing to a positive learning atmosphere.

In the classroom, students should arrive on time, be prepared to participate, and minimize distractions by silencing or using electronic devices appropriately. Respectful communication and collaboration are expected at all times.

In online and remote settings, students are expected to communicate professionally in discussion boards, emails, and virtual meetings. Written communication should be clear, respectful, and appropriate for an academic environment. Students should adhere to course deadlines, follow netiquette guidelines, and respect diverse perspectives.

Disruptive, disrespectful, or inappropriate behavior, whether in person or online, may result in removal from class activities, academic consequences, or referral to the appropriate college offices in accordance with institutional policies.

Course Calendar
DateDayClass Meeting?TopicHomework / AssessmentsNotes
January 12, 2026MondayYesIntroduction & 1.1 Chapter 1: Data Collection
January 14, 2026WednesdayYes1.2 - 1.3  
January 19, 2026MondayNoDr. Martin Luther King, Jr. Day – College Closed Dr. Martin Luther King, Jr. Day – College Closed
January 21, 2026WednesdayYes1.4 - 1.5Part 1 Due 
January 26, 2026MondayYes2.1 - 2.2 Chapter 2: Organizing and Summarizing Data
January 28, 2026WednesdayYes2.3 - 2.4  
February 02, 2026MondayYes3.1 - 3.2Part 2 DueChapter 3: Numerically Summarizing Data
February 04, 2026WednesdayYes3.3 - 3.4  
February 09, 2026MondayYes3.5  
February 11, 2026WednesdayYes4.1 - 4.2 Chapter 4: Describing the Relation Between Two Variables
February 16, 2026MondayYes4.3 - 4.4Part 3 Due 
February 18, 2026WednesdayYes5.1 Chapter 5: Probability
February 23, 2026MondayYes5.2  
February 25, 2026WednesdayYes6.1 Chapter 6: Discrete Probability Distributions
March 02, 2026MondayYes6.2Part 4 Due 
March 04, 2026WednesdayYesReview of 1st Half of the course  
March 09, 2026MondayNoSpring Break – No Classes (College open until 5 p.m.) Spring Break – No Classes (College open until 5 p.m.)
March 11, 2026WednesdayNoSpring Break – No Classes (College open until 5 p.m.) Spring Break – No Classes (College open until 5 p.m.)
March 16, 2026MondayYes7.1 Chapter 7: The Normal Probability Distribution
March 18, 2026WednesdayYes7.2  
March 23, 2026MondayYes7.3  
March 25, 2026WednesdayYes8.1 Chapter 8: Sampling Distributions
March 30, 2026MondayYes8.2  
April 01, 2026WednesdayYes9.1 Chapter 9: Estimating the Value of a Parameter
April 06, 2026MondayYes9.2  
April 08, 2026WednesdayYes9.3  
April 13, 2026MondayYes10.1 Chapter 10: Hypothesis Tests Regarding a Parameter
April 15, 2026WednesdayYes10.2  
April 20, 2026MondayYes10.3  
April 22, 2026WednesdayYes10.4  
April 27, 2026MondayYes11.1 - 11.2Part 5 DueChapter 11: Inference on Two Population Parameters
April 29, 2026WednesdayYes11.2 - 11.3  
May 04, 2026MondayYes12.1 - 12.2 Chapter 12: Inference on Categorical Data
May 06, 2026WednesdayYes13.1Part 6 DueChapter 13: Comparing Three or More Means
May 11, 2026MondayYesReview of Semester Paper & Final Presentation  
May 13, 2026WednesdayYesHold DayFinal Presentation Due 

College Policies, Resources and Supports

College Policies

For information related to the Student Code of Conduct Policy, Withdrawal Policy, Email Policy, and Non- Attendance/Non-Participation Policy, please review the college’s Code of Campus Affairs and Regulations webpage, which can be found at catalog.kcc.edu under the Academic Regulations & Conduct Guide. 

Resources

KCC offers various academic and personal resources for all students. Many services are offered virtually, as well as in person. Please visit Student Resources - Kankakee Community College to access student resources services such as:

  • Clubs and organizations
  • Counseling and referral services
  • Office of disability services
  • Student complaint policy
  • Transfer services
  • Tutoring services, etc.
Copyright & Syllabus Disclaimer

The materials on this course are only for the use of students enrolled in this course for purposes associated with this course. Further information regarding KCC's copyright policy is available at https://kcc.libguides.com/copyright. 
|Course syllabus/calendar is subject to change.